From 11375300bfb1819ba8f03703760001e9737502dc Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 22 Aug 2023 14:17:10 -0500 Subject: [PATCH 01/33] start the database course section --- db-course/000-ConnectDataJoint.ipynb | 161 +++++++++++++++++++++++++++ db-course/000-ConnectSQL.ipynb | 94 ++++++++++++++++ requirements.txt | 4 +- 3 files changed, 258 insertions(+), 1 deletion(-) create mode 100644 db-course/000-ConnectDataJoint.ipynb create mode 100644 db-course/000-ConnectSQL.ipynb diff --git a/db-course/000-ConnectDataJoint.ipynb b/db-course/000-ConnectDataJoint.ipynb new file mode 100644 index 0000000..567f2e6 --- /dev/null +++ b/db-course/000-ConnectDataJoint.ipynb @@ -0,0 +1,161 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-08-22 19:02:51,159][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-08-22 19:02:51,170][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "schema = dj.Schema('university')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " student_id : int\n", + " ---\n", + " first_name : varchar(64)\n", + " last_name : varchar(64)\n", + " date_of_birth : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-08-22 19:04:19,773][INFO]: `university`.`student` (0 tuples)\n", + "[2023-08-22 19:14:12,239][INFO]: Dropped table `university`.`student`\n", + "[2023-08-22 19:14:12,253][INFO]: Tables dropped. Restart kernel.\n" + ] + } + ], + "source": [ + "Student.drop()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/000-ConnectSQL.ipynb b/db-course/000-ConnectSQL.ipynb new file mode 100644 index 0000000..4b96ad7 --- /dev/null +++ b/db-course/000-ConnectSQL.ipynb @@ -0,0 +1,94 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext sql\n", + "%config SqlMagic.autocommit=True" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "connection_string = \"mysql://root:simple@127.0.0.1\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "%sql $connection_string" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE SCHEMA university" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/requirements.txt b/requirements.txt index 6cd7679..306b763 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,5 @@ datajoint seaborn -scikit-image \ No newline at end of file +scikit-image +ipython-sql +sqlalchemy From a8778be81440e0c37184e487984418cf384d4e08 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 29 Aug 2023 19:44:53 -0500 Subject: [PATCH 02/33] add University and FakeIt to db-course --- db-course/000-ConnectDataJoint.ipynb | 497 +++- db-course/000-ConnectSQL.ipynb | 166 +- db-course/001-FakeIt.ipynb | 734 ++++++ db-course/001-University.ipynb | 3546 ++++++++++++++++++++++++++ 4 files changed, 4901 insertions(+), 42 deletions(-) create mode 100644 db-course/001-FakeIt.ipynb create mode 100644 db-course/001-University.ipynb diff --git a/db-course/000-ConnectDataJoint.ipynb b/db-course/000-ConnectDataJoint.ipynb index 567f2e6..b1e89da 100644 --- a/db-course/000-ConnectDataJoint.ipynb +++ b/db-course/000-ConnectDataJoint.ipynb @@ -13,13 +13,33 @@ "cell_type": "code", "execution_count": 2, "metadata": {}, + "outputs": [], + "source": [ + "dj.config['database.host'] = '127.0.0.1'\n", + "dj.config['database.user'] = 'root'\n", + "dj.config['database.password'] = 'simple'" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "dj.config.save_local()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[2023-08-22 19:02:51,159][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-08-22 19:02:51,170][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-08-29 19:01:01,193][INFO]: Connecting root@127.0.0.1:3306\n", + "[2023-08-29 19:01:01,648][INFO]: Connected root@127.0.0.1:3306\n" ] } ], @@ -29,39 +49,61 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "@schema\n", - "class Student(dj.Manual):\n", + "class Person(dj.Manual):\n", " definition = \"\"\"\n", - " student_id : int\n", + " person : int\n", " ---\n", - " first_name : varchar(64)\n", - " last_name : varchar(64)\n", + " first_name : varchar(30)\n", + " last_name : varchar(30)\n", " date_of_birth : date\n", " \"\"\"" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "`university`.`person` (1 tuples)\n", + "Proceed? [yes, No]: no\n" + ] + } + ], + "source": [ + "Person.drop()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", - "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Student\n", - "\n", - "\n", - "Student\n", + "Person\n", + "\n", + "\n", + "Person\n", "\n", "\n", "\n", @@ -69,10 +111,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -83,49 +125,427 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
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person

\n", + " \n", + "
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first_name

\n", + " \n", + "
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last_name

\n", + " \n", + "
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date_of_birth

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1JaneSmith2022-02-02
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*person first_name last_name date_of_birth \n", + "+--------+ +------------+ +-----------+ +------------+\n", + "1 Jane Smith 2022-02-02 \n", + " (Total: 1)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert1((1, \"Jane\", \"Smith\", \"2022-02-02\"), skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "from faker import Faker\n", + "faker = Faker()\n", + "from tqdm import tqdm " + ] + }, + { + "cell_type": "code", + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[2023-08-22 19:04:19,773][INFO]: `university`.`student` (0 tuples)\n", - "[2023-08-22 19:14:12,239][INFO]: Dropped table `university`.`student`\n", - "[2023-08-22 19:14:12,253][INFO]: Tables dropped. Restart kernel.\n" + "100%|██████████████████████████████████████| 1000/1000 [00:00<00:00, 5399.02it/s]\n" ] } ], "source": [ - "Student.drop()" + "Person.insert((i, faker.first_name(), faker.last_name(), faker.date_of_birth()) for i in tqdm(range(1000,2000)))" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "" + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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1JaneSmith2022-02-02
1000RobertSmith1947-11-18
1001DanWarren2019-08-07
1002MelissaJackson2003-12-26
1003BradBuck1984-12-18
1004JosephMaxwell1947-09-09
1005JonathanTaylor1943-12-10
1006CarrieRichards1908-05-29
1007OliviaColeman1941-02-17
1008ElizabethPena1981-08-18
1009BenjaminFernandez1913-08-10
1010JesseWilliams2004-04-02
\n", + "

...

\n", + "

Total: 1001

\n", + " " ], "text/plain": [ - "" + "*person first_name last_name date_of_birth \n", + "+--------+ +------------+ +-----------+ +------------+\n", + "1 Jane Smith 2022-02-02 \n", + "1000 Robert Smith 1947-11-18 \n", + "1001 Dan Warren 2019-08-07 \n", + "1002 Melissa Jackson 2003-12-26 \n", + "1003 Brad Buck 1984-12-18 \n", + "1004 Joseph Maxwell 1947-09-09 \n", + "1005 Jonathan Taylor 1943-12-10 \n", + "1006 Carrie Richards 1908-05-29 \n", + "1007 Olivia Coleman 1941-02-17 \n", + "1008 Elizabeth Pena 1981-08-18 \n", + "1009 Benjamin Fernandez 1913-08-10 \n", + "1010 Jesse Williams 2004-04-02 \n", + " ...\n", + " (Total: 1001)" ] }, - "execution_count": 10, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dj.Diagram(schema)" + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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person
1JaneSmith2022-02-02
1000RobertSmith1947-11-18
1001DanWarren2019-08-07
1002MelissaJackson2003-12-26
1003BradBuck1984-12-18
............
1995DianaMclean1947-04-27
1996ChristopherWaters1965-10-30
1997SamanthaRodriguez2007-02-16
1998MatthewLucas1962-10-24
1999AlexisJohnson1971-04-08
\n", + "

1001 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " first_name last_name date_of_birth\n", + "person \n", + "1 Jane Smith 2022-02-02\n", + "1000 Robert Smith 1947-11-18\n", + "1001 Dan Warren 2019-08-07\n", + "1002 Melissa Jackson 2003-12-26\n", + "1003 Brad Buck 1984-12-18\n", + "... ... ... ...\n", + "1995 Diana Mclean 1947-04-27\n", + "1996 Christopher Waters 1965-10-30\n", + "1997 Samantha Rodriguez 2007-02-16\n", + "1998 Matthew Lucas 1962-10-24\n", + "1999 Alexis Johnson 1971-04-08\n", + "\n", + "[1001 rows x 3 columns]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person.fetch(format=\"frame\")" ] }, { @@ -138,9 +558,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "benv", "language": "python", - "name": "python3" + "name": "benv" }, "language_info": { "codemirror_mode": { @@ -152,9 +572,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.17" - }, - "orig_nbformat": 4 + "version": "3.10.4" + } }, "nbformat": 4, "nbformat_minor": 2 diff --git a/db-course/000-ConnectSQL.ipynb b/db-course/000-ConnectSQL.ipynb index 4b96ad7..ea3bd55 100644 --- a/db-course/000-ConnectSQL.ipynb +++ b/db-course/000-ConnectSQL.ipynb @@ -40,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -57,7 +57,7 @@ "[]" ] }, - "execution_count": 5, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -65,8 +65,168 @@ "source": [ "%%sql\n", "\n", - "CREATE SCHEMA university" + "CREATE SCHEMA IF NOT EXISTS university" ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql \n", + "\n", + "USE university " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE person (\n", + " person_id int NOT NULL,\n", + " first_name varchar(30) NOT NULL,\n", + " last_name varchar(30) NOT NULL,\n", + " PRIMARY KEY(person_id)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "2 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "INSERT INTO person VALUES (2, \"Jane\", \"Doe\"), (3, \"Alice\", \"Cooper\") " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "3 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
person_idfirst_namelast_name
1AliceCooper
2JaneDoe
3AliceCooper
" + ], + "text/plain": [ + "[(1, 'Alice', 'Cooper'), (2, 'Jane', 'Doe'), (3, 'Alice', 'Cooper')]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM person" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/db-course/001-FakeIt.ipynb b/db-course/001-FakeIt.ipynb new file mode 100644 index 0000000..96f15bf --- /dev/null +++ b/db-course/001-FakeIt.ipynb @@ -0,0 +1,734 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Faker for testing databases\n", + "Learn to use the `faker` module to allow testing database designs." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from faker import Faker" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "faker = Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(faker.credit_card_full())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "faker.date_of_birth()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "faker.phone_number()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(faker.paragraph())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "faker.license_plate()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "faker.street_address()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "faker.coordinate()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "faker.words(4)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Learn about Cursors\n", + "Cursors are the usual way of issuing database queries and processing their results." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "creds = {'user': 'root', 'password': 'simple', 'host':'127.0.0.1'}" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['user', 'password', 'host']" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(creds)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "\n", + "# establish a database connection\n", + "conn = pymysql.connect(\n", + " host=creds['host'], \n", + " user=creds['user'], \n", + " passwd=creds['password'],\n", + " autocommit=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "cursor = conn.cursor(\n", + " cursor=pymysql.cursors.DictCursor)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\"CREATE SCHEMA IF NOT EXISTS university\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "s = '''\n", + "Yesterday, \n", + "all my troubles seemed so far away.\n", + "Now it seems as though they're here to stay.\n", + "Oh, how I long for yesterday.\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute('USE university')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\"\"\"\n", + "CREATE TABLE person(\n", + "person_id int not NULL,\n", + "first_name varchar(30) NOT NULL,\n", + "last_name varchar(30) NOT NULL,\n", + "date_of_birth date NOT NULL,\n", + "primary key(person_id)\n", + ")\n", + "\"\"\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"DROP TABLE person\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\n", + " \"\"\"\n", + " INSERT INTO person \n", + " VALUES\n", + " (2, \"Jane\", \"Doe\", \"2002-02-02\"),\n", + " (3, \"John\", \"Smith\", \"2003-03-01\"),\n", + " (4, \"John\", \"Wick\", \"1979-12-02\")\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\"\"\"\n", + " SELECT * FROM person\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'person_id': 2, 'first_name': 'Jane', 'last_name': 'Doe', 'date_of_birth': datetime.date(2002, 2, 2)}\n", + "{'person_id': 3, 'first_name': 'John', 'last_name': 'Smith', 'date_of_birth': datetime.date(2003, 3, 1)}\n", + "{'person_id': 4, 'first_name': 'John', 'last_name': 'Wick', 'date_of_birth': datetime.date(1979, 12, 2)}\n", + "{'person_id': 5, 'first_name': 'Gregory', 'last_name': 'Morris', 'date_of_birth': datetime.date(1954, 9, 4)}\n" + ] + } + ], + "source": [ + "for rec in cursor:\n", + " print(rec)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.fetchall()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# insert \n", + "cursor.execute(\n", + " \"\"\"\n", + " INSERT INTO person \n", + " (person_id, first_name, last_name, date_of_birth) VALUES\n", + " (%s, %s, %s, %s)\n", + "\"\"\", (5, faker.first_name(), faker.last_name(), faker.date_of_birth()))" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|█████████████████████████████████████████| 200/200 [00:01<00:00, 164.26it/s]\n" + ] + } + ], + "source": [ + "for i in tqdm(range(1000, 1200)):\n", + " cursor.execute(\"\"\"\n", + " INSERT INTO \n", + " person (person_id, first_name, last_name, date_of_birth) \n", + " VALUES (%s, %s, %s, %s)\n", + " \"\"\", (i, faker.first_name(), faker.last_name(), faker.date_of_birth()))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "204" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\"\"\"\n", + "SELECT * FROM person\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.fetchall()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "DROP TABLE dimitri_test.fake_person\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import datetime" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"USE dimitri_test\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"SELECT * FROM fake_person\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.fetchone()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.fetchall()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"SELECT * FROM dimitri_test.fake_person\"\"\")\n", + "for rec in cursor:\n", + " print(rec)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import datetime" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "faker.date_between(datetime.date(2018, 2, 3), 'today')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "drop table fake_death\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "CREATE TABLE dimitri_test.fake_death(\n", + " person_id int not null,\n", + " date_of_death date NOT NULL,\n", + " primary key(person_id), \n", + " foreign key (person_id) REFERENCES dimitri_test.fake_person (person_id))\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "CREATE TABLE hotel_reserviation(\n", + " \n", + " hotel varchar(20) not null\n", + " room int not null,\n", + " reservation_date date,\n", + " person_id int not null,\n", + " \n", + " unique index (person_id, reservation_date), \n", + " primary key (hotel, room, reservation_date),\n", + " foreign key (person_id) references fake_person(person_id)\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "CREATE TABLE bank_account (\n", + " \n", + " bank_id int not null, \n", + " account int not null,\n", + " \n", + " primary key(bank_id, account)\n", + "\n", + "\"\"\")\n", + "\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE bank_account_owner (\n", + " \n", + " bank_id int not null, \n", + " account int not null,\n", + " person_id int not null,\n", + " \n", + " primary key(bank_id, account, person_id),\n", + " foreign key (person_id) references fake_person(person_id),\n", + " foreign key (bank_id, account) references fake_person(bank_id, account),\n", + "\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "SELECT * FROM fake_person\n", + "\"\"\")\n", + "cursor.fetchone()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"INSERT into fake_death (date_of_death) values ('2020-10-09')\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"INSERT into fake_death (person_id, date_of_death) values (1000, '2020-09-09')\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "persons = cursor.execute(\"\"\"SELECT person_id, date_of_birth FROM dimitri_test.fake_person\"\"\")\n", + "for rec in cursor.fetchall():\n", + " cursor.execute(\"\"\"\n", + " INSERT INTO dimitri_test.fake_death (person_id, date_of_death) VALUES (%s, %s)\n", + " \"\"\", (rec['person_id'], faker.date_between(rec['date_of_birth'], rec['date_of_birth'] + datetime.timedelta(days=40000))))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "SELECT first_name, floor(DATEDIFF(date_of_death, date_of_birth)/365.25) as died_at\n", + "FROM dimitri_test.fake_person NATURAL JOIN dimitri_test.fake_death\"\"\")\n", + "\n", + "for rec in cursor:\n", + " print(rec)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "DROP TABLE dimitri_test.fake_death\n", + "\"\"\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Terminology\n", + "\n", + "Translation from relational terminology into database programming\n", + "\n", + "* Tuple -> Row\n", + "* Attribute -> Field/column\n", + "* Attribute value -> cell\n", + "* Relation -> Table\n", + "* Domain -> data type" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "benv", + "language": "python", + "name": "benv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/001-University.ipynb b/db-course/001-University.ipynb new file mode 100644 index 0000000..132eae4 --- /dev/null +++ b/db-course/001-University.ipynb @@ -0,0 +1,3546 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Define" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-08-30 00:26:05,507][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-08-30 00:26:05,519][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "schema = dj.schema('university')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " student_id : int unsigned # university-wide ID number\n", + " ---\n", + " first_name : varchar(40)\n", + " last_name : varchar(40)\n", + " sex : enum('F', 'M', 'U')\n", + " date_of_birth : date\n", + " home_address : varchar(120) # mailing street address\n", + " home_city : varchar(60) # mailing address\n", + " home_state : char(2) # US state acronym: e.g. OH\n", + " home_zip : char(10) # zipcode e.g. 93979-4979\n", + " home_phone : varchar(20) # e.g. 414.657.6883x0881\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Department(dj.Manual):\n", + " definition = \"\"\"\n", + " dept : varchar(6) # abbreviated department name, e.g. BIOL\n", + " ---\n", + " dept_name : varchar(200) # full department name\n", + " dept_address : varchar(200) # mailing address\n", + " dept_phone : varchar(20)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class StudentMajor(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " ---\n", + " -> Department\n", + " declare_date : date # when student declared her major\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "@schema\n", + "class Course(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Department\n", + " course : int unsigned # course number, e.g. 1010\n", + " ---\n", + " course_name : varchar(200) # e.g. \"Neurobiology of Sensation and Movement.\"\n", + " credits : decimal(3,1) # number of credits earned by completing the course\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Term(dj.Manual):\n", + " definition = \"\"\"\n", + " term_year : year\n", + " term : enum('Spring', 'Summer', 'Fall')\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Section(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Course\n", + " -> Term\n", + " section : char(1)\n", + " ---\n", + " auditorium : varchar(12)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class CurrentTerm(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Term\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Enroll(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " -> Section\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class LetterGrade(dj.Manual):\n", + " definition = \"\"\"\n", + " grade : char(2)\n", + " ---\n", + " points : decimal(3,2)\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Grade(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Enroll\n", + " ---\n", + " -> LetterGrade\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->Section\n", + "\n", + "\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Section->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Enroll->Grade\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->Course\n", + "\n", + "\n", + "\n", + "\n", + "Course->Section\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "import faker\n", + "import random\n", + "import itertools\n", + "import datetime\n", + "fake = faker.Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "def yield_students():\n", + " fake_name = {'F': fake.name_female, 'M': fake.name_male}\n", + " while True: # ignore invalid values\n", + " try:\n", + " sex = random.choice(('F', 'M'))\n", + " first_name, last_name = fake_name[sex]().split(' ')[:2]\n", + " street_address, city = fake.address().split('\\n')\n", + " city, state = city.split(', ')\n", + " state, zipcode = state.split(' ') \n", + " except ValueError:\n", + " continue\n", + " else:\n", + " yield dict(\n", + " first_name=first_name,\n", + " last_name=last_name,\n", + " sex=sex,\n", + " home_address=street_address,\n", + " home_city=city,\n", + " home_state=state,\n", + " home_zip=zipcode,\n", + " date_of_birth=str(\n", + " fake.date_time_between(start_date=\"-35y\", end_date=\"-15y\").date()),\n", + " home_phone = fake.phone_number()[:20])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "Student.insert(\n", + " dict(k, student_id=i) for i, k in zip(range(100,300), yield_students()))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
100BarbaraCruzF1995-11-15877 Perez RouteSouth NathanlandSC37876+1-440-738-5021x919
101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
102LisaHowardF2001-03-2220309 Sparks Point Suite 605KevinboroughWA46193+1-496-409-0832x7028
103WilliamCabreraM2007-10-071452 Little SquaresAlexandraburyOK78525930.731.6737
104EmmaWilliamsF2006-01-251515 Andrea Ferry Suite 616North VictoriaburySC68350(725)950-3537x1651
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
108SherryMartinezF2000-05-2953980 Jennifer OrchardNicolelandFL88079638-594-3126x4188
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
\n", + "

...

\n", + "

Total: 200

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 Barbara Cruz F 1995-11-15 877 Perez Rout South Nathanla SC 37876 +1-440-738-502\n", + "101 Charles Lang M 2003-01-18 1443 Gaines Sh South Derrickh NY 17676 (685)341-0168x\n", + "102 Lisa Howard F 2001-03-22 20309 Sparks P Kevinborough WA 46193 +1-496-409-083\n", + "103 William Cabrera M 2007-10-07 1452 Little Sq Alexandrabury OK 78525 930.731.6737 \n", + "104 Emma Williams F 2006-01-25 1515 Andrea Fe North Victoria SC 68350 (725)950-3537x\n", + "105 Jessica Ruiz F 1988-09-16 4624 Dunn Cour Heatherburgh WV 39941 869.251.0923 \n", + "106 Daniel Bates M 1994-10-31 72318 Martinez Sarahborough AR 18566 (609)547-7753x\n", + "107 Jennifer Henderson F 2004-07-03 2867 Brian Vis Port Amy NV 18620 209-483-8663x1\n", + "108 Sherry Martinez F 2000-05-29 53980 Jennifer Nicoleland FL 88079 638-594-3126x4\n", + "109 Jill Wilson F 1994-02-28 97226 Scott Es Washingtonvill MA 42090 (744)453-4573x\n", + "110 Summer Brown F 2000-08-14 5210 Herrera C East Joan IA 64238 (549)359-7826x\n", + "111 Tina Ray F 1995-04-14 1407 Brandon R South Samuelfo KS 22351 001-839-569-70\n", + " ...\n", + " (Total: 200)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Student()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "Department.insert(\n", + " dict(dept=dept, \n", + " dept_name=name, \n", + " dept_address=fake.address(), \n", + " dept_phone=fake.phone_number()[:20])\n", + " for dept, name in [\n", + " [\"CS\", \"Computer Science\"],\n", + " [\"BIOL\", \"Life Sciences\"],\n", + " [\"PHYS\", \"Physics\"],\n", + " [\"MATH\", \"Mathematics\"]])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "StudentMajor.insert({**s, **d, \n", + " 'declare_date':fake.date_between(start_date=datetime.date(1999,1,1))}\n", + " for s, d in zip(Student.fetch('KEY'), random.choices(Department.fetch('KEY'), k=len(Student())))\n", + " if random.random() < 0.75)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

declare_date

\n", + " when student declared her major\n", + "
100PHYS2007-01-27
101CS2013-05-30
102CS2020-04-17
105CS2020-11-25
106CS2011-09-24
109BIOL2012-12-01
111BIOL2010-08-27
112BIOL2018-03-31
115BIOL2014-04-17
117PHYS2018-05-03
118BIOL1999-01-18
119BIOL2014-07-12
\n", + "

...

\n", + "

Total: 149

\n", + " " + ], + "text/plain": [ + "*student_id dept declare_date \n", + "+------------+ +------+ +------------+\n", + "100 PHYS 2007-01-27 \n", + "101 CS 2013-05-30 \n", + "102 CS 2020-04-17 \n", + "105 CS 2020-11-25 \n", + "106 CS 2011-09-24 \n", + "109 BIOL 2012-12-01 \n", + "111 BIOL 2010-08-27 \n", + "112 BIOL 2018-03-31 \n", + "115 BIOL 2014-04-17 \n", + "117 PHYS 2018-05-03 \n", + "118 BIOL 1999-01-18 \n", + "119 BIOL 2014-07-12 \n", + " ...\n", + " (Total: 149)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "StudentMajor()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# from https://www.utah.edu/\n", + "Course.insert([\n", + " ['BIOL', 1006, 'World of Dinosaurs', 3],\n", + " ['BIOL', 1010, 'Biology in the 21st Century', 3],\n", + " ['BIOL', 1030, 'Human Biology', 3],\n", + " ['BIOL', 1210, 'Principles of Biology', 4],\n", + " ['BIOL', 2010, 'Evolution & Diversity of Life', 3],\n", + " ['BIOL', 2020, 'Principles of Cell Biology', 3],\n", + " ['BIOL', 2021, 'Principles of Cell Science', 4],\n", + " ['BIOL', 2030, 'Principles of Genetics', 3],\n", + " ['BIOL', 2210, 'Human Genetics',3],\n", + " ['BIOL', 2325, 'Human Anatomy', 4],\n", + " ['BIOL', 2330, 'Plants & Society', 3],\n", + " ['BIOL', 2355, 'Field Botany', 2],\n", + " ['BIOL', 2420, 'Human Physiology', 4],\n", + "\n", + " ['PHYS', 2040, 'Classcal Theoretical Physics II', 4],\n", + " ['PHYS', 2060, 'Quantum Mechanics', 3],\n", + " ['PHYS', 2100, 'General Relativity and Cosmology', 3],\n", + " ['PHYS', 2140, 'Statistical Mechanics', 4],\n", + " \n", + " ['PHYS', 2210, 'Physics for Scientists and Engineers I', 4], \n", + " ['PHYS', 2220, 'Physics for Scientists and Engineers II', 4],\n", + " ['PHYS', 3210, 'Physics for Scientists I (Honors)', 4],\n", + " ['PHYS', 3220, 'Physics for Scientists II (Honors)', 4],\n", + " \n", + " ['MATH', 1250, 'Calculus for AP Students I', 4],\n", + " ['MATH', 1260, 'Calculus for AP Students II', 4],\n", + " ['MATH', 1210, 'Calculus I', 4],\n", + " ['MATH', 1220, 'Calculus II', 4],\n", + " ['MATH', 2210, 'Calculus III', 3],\n", + " \n", + " ['MATH', 2270, 'Linear Algebra', 4],\n", + " ['MATH', 2280, 'Introduction to Differential Equations', 4],\n", + " ['MATH', 3210, 'Foundations of Analysis I', 4],\n", + " ['MATH', 3220, 'Foundations of Analysis II', 4],\n", + " \n", + " ['CS', 1030, 'Foundations of Computer Science', 3],\n", + " ['CS', 1410, 'Introduction to Object-Oriented Programming', 4],\n", + " ['CS', 2420, 'Introduction to Algorithms & Data Structures', 4],\n", + " ['CS', 2100, 'Discrete Structures', 3],\n", + " ['CS', 3500, 'Software Practice', 4],\n", + " ['CS', 3505, 'Software Practice II', 3],\n", + " ['CS', 3810, 'Computer Organization', 4],\n", + " ['CS', 4400, 'Computer Systems', 4],\n", + " ['CS', 4150, 'Algorithms', 3],\n", + " ['CS', 3100, 'Models of Computation', 3],\n", + " ['CS', 3200, 'Introduction to Scientific Computing', 3],\n", + " ['CS', 4000, 'Senior Capstone Project - Design Phase', 3],\n", + " ['CS', 4500, 'Senior Capstone Project', 3],\n", + " ['CS', 4940, 'Undergraduate Research', 3],\n", + " ['CS', 4970, 'Computer Science Bachelor''s Thesis', 3]])" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "Term.insert(dict(term_year=year, term=term) \n", + " for year in range(1999, 2019) \n", + " for term in ['Spring', 'Summer', 'Fall'])\n", + "\n", + "Term().fetch(order_by=('term_year DESC', 'term DESC'), as_dict=True, limit=1)[0]\n", + "\n", + "CurrentTerm().insert1({\n", + " **Term().fetch(order_by=('term_year DESC', 'term DESC'), as_dict=True, limit=1)[0]})\n", + "\n", + "def make_section(prob):\n", + " for c in (Course * Term).proj():\n", + " for sec in 'abcd':\n", + " if random.random() < prob:\n", + " break\n", + " yield {\n", + " **c, 'section': sec, \n", + " 'auditorium': random.choice('ABCDEF') + str(random.randint(1,100))} \n", + "\n", + "Section.insert(make_section(0.5))" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "LetterGrade.insert([\n", + " ['A', 4.00],\n", + " ['A-', 3.67],\n", + " ['B+', 3.33],\n", + " ['B', 3.00],\n", + " ['B-', 2.67],\n", + " ['C+', 2.33],\n", + " ['C', 2.00],\n", + " ['C-', 1.67],\n", + " ['D+', 1.33],\n", + " ['D', 1.00],\n", + " ['F', 0.00]])" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

grade

\n", + " \n", + "
\n", + "

points

\n", + " \n", + "
A4.00
A-3.67
B3.00
B-2.67
B+3.33
C2.00
C-1.67
C+2.33
D1.00
D+1.33
F0.00
\n", + " \n", + "

Total: 11

\n", + " " + ], + "text/plain": [ + "*grade points \n", + "+-------+ +--------+\n", + "A 4.00 \n", + "A- 3.67 \n", + "B 3.00 \n", + "B- 2.67 \n", + "B+ 3.33 \n", + "C 2.00 \n", + "C- 1.67 \n", + "C+ 2.33 \n", + "D 1.00 \n", + "D+ 1.33 \n", + "F 0.00 \n", + " (Total: 11)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "LetterGrade()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 200/200 [00:10<00:00, 19.38it/s]\n" + ] + } + ], + "source": [ + "# Enrollment \n", + "terms = Term().fetch('KEY')\n", + "quit_prob = 0.1\n", + "for student in tqdm(Student.fetch('KEY')):\n", + " start_term = random.randrange(len(terms))\n", + " for term in terms[start_term:]:\n", + " if random.random() < quit_prob:\n", + " break\n", + " else:\n", + " sections = ((Section & term) - (Course & (Enroll & student))).fetch('KEY')\n", + " if sections:\n", + " Enroll.insert({**student, **section} for section in \n", + " random.sample(sections, random.randrange(min(5, len(sections)))))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# assign random grades\n", + "grades = LetterGrade.fetch('grade')\n", + "\n", + "grade_keys = Enroll.fetch('KEY')\n", + "random.shuffle(grade_keys)\n", + "grade_keys = grade_keys[:len(grade_keys)*9//10]\n", + "\n", + "Grade.insert({**key, 'grade':grade} \n", + " for key, grade in zip(grade_keys, random.choices(grades, k=len(grade_keys))))" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
169BIOL10062001Springa
195BIOL10062001Springa
171BIOL10062001Springb
255BIOL10062001Summera
110BIOL10062002Falla
184BIOL10062002Falla
245BIOL10062002Falla
143BIOL10062002Fallb
148BIOL10062002Fallc
114BIOL10062003Falla
151BIOL10062003Falla
225BIOL10062003Falla
\n", + "

...

\n", + "

Total: 2863

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+\n", + "169 BIOL 1006 2001 Spring a \n", + "195 BIOL 1006 2001 Spring a \n", + "171 BIOL 1006 2001 Spring b \n", + "255 BIOL 1006 2001 Summer a \n", + "110 BIOL 1006 2002 Fall a \n", + "184 BIOL 1006 2002 Fall a \n", + "245 BIOL 1006 2002 Fall a \n", + "143 BIOL 1006 2002 Fall b \n", + "148 BIOL 1006 2002 Fall c \n", + "114 BIOL 1006 2003 Fall a \n", + "151 BIOL 1006 2003 Fall a \n", + "225 BIOL 1006 2003 Fall a \n", + " ...\n", + " (Total: 2863)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Enroll()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Queries" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Restriction" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
198GaryAriasM2001-08-265693 Rachel FortJohnsonhavenTX80473(614)716-3998x72349
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "198 Gary Arias M 2001-08-26 5693 Rachel Fo Johnsonhaven TX 80473 (614)716-3998x\n", + " (Total: 1)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Students from Texas\n", + "Student & {'home_state': 'TX'}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Student & 'home_state=\"TX\"'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Male students from outside Texas\n", + "(Student & 'sex=\"M\"') - {'home_state': 'TX'}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students from TX, OK, or NM\n", + "Student & [{'home_state':'OK'}, {'home_state':'NM'}, {'home_state':'TX'}] " + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "# Millenials\n", + "millennials = Student & 'date_of_birth between \"1981-01-01\" and \"1996-12-31\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
100BarbaraCruzF1995-11-15877 Perez RouteSouth NathanlandSC37876+1-440-738-5021x919
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
113JoshuaFosterM1995-12-055977 Hannah Gateway Apt. 455AlexaburghIL25439954-732-8286
115SarahCantuF1993-11-220746 Gloria Mills Suite 175HowardtonNM71040605.358.8159
116AlfredSnyderM1992-07-1731613 Frank Road Apt. 815MartinsidePA33470880.832.0572x198
117LaurenMackF1992-11-3009867 Ronald IslandsLewisboroughNC52039660-258-8038
120WandaFreyF1996-01-22917 Woods MeadowSouth LisaFL96002(624)972-1055x79856
121MicheleBlackF1990-06-18193 Arroyo Ramp Suite 437CrystalhavenWA97851967.573.9745
124CynthiaSteeleF1994-11-1563503 Garcia Park Apt. 871GinaportFL22097(641)890-0271
\n", + "

...

\n", + "

Total: 83

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101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
102LisaHowardF2001-03-2220309 Sparks Point Suite 605KevinboroughWA46193+1-496-409-0832x7028
104EmmaWilliamsF2006-01-251515 Andrea Ferry Suite 616North VictoriaburySC68350(725)950-3537x1651
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
108SherryMartinezF2000-05-2953980 Jennifer OrchardNicolelandFL88079638-594-3126x4188
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
112CraigNolanM2001-12-08425 Nathan Turnpike Apt. 256SeanstadCA17904898.625.6573x46193
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...

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Total: 180

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168SusanSmithF1994-12-30560 Lopez Branch Apt. 788New JasonfurtFL96037001-232-425-7123x362
194ChristopherHernandezM1990-07-31534 Amanda Hill Apt. 376South AmandavilleWA25494(787)577-0513x07471
208ChristineBarronF1996-07-061691 Burke LakeCaldwellvilleCA88933283.966.1713
226JosephEvansM1990-10-07539 Thomas Crossroad Apt. 694West EmilyWV81719726.837.3774x03599
284MonicaBurtonF1995-08-03550 Alison Dale Suite 863RandalllandWI14516637.445.3376x631
289JerryRamirezM1989-06-1295936 Lara SkywayRandybergAS34131996.978.0755
292AmandaDoughertyF1995-02-2637994 Smith IslandCartershireAL59865566.392.0752x22812
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Total: 7

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103WilliamCabreraM2007-10-071452 Little SquaresAlexandraburyOK78525930.731.6737
127CherylHawkinsF2007-08-092653 Lance DriveCrossboroughRI726487447138304
128MichaelDixonM1997-02-27022 Smith CourtsSouth ZacharyID978924037310777
133PaulHallM1998-05-3054772 Zachary Viaduct Apt. 395SarahsideIA92005+1-609-773-3976
153AprilSimsF2000-07-22619 Levy Burgs Apt. 847South OscarNH75765940-428-5035x9354
165CindyBarnesF2005-01-038306 Barry GatewayElizabethmouthND32608001-297-459-1311
168SusanSmithF1994-12-30560 Lopez Branch Apt. 788New JasonfurtFL96037001-232-425-7123x362
175DaniellePaulF2003-02-1535339 James Crescent Suite 466New StephenMA72663001-901-663-8095
178FrankPerkinsM2003-06-0395950 Jasmine LocksEast GarySD76339+1-461-513-2595x005
194ChristopherHernandezM1990-07-31534 Amanda Hill Apt. 376South AmandavilleWA25494(787)577-0513x07471
208ChristineBarronF1996-07-061691 Burke LakeCaldwellvilleCA88933283.966.1713
213MichaelRiceM2007-09-1437237 Paul IslandNew AaronshireMN23096(443)808-2349
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...

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Total: 20

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101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
119SarahLinF2001-09-136469 Jesus Stravenue Suite 497Lake ThomaschesterWY35503408.292.3880
130PamelaBlevinsF1990-08-133266 Michael Villages Apt. 068New NathanlandVI97258274.333.7892
136StephanieMorganF2003-12-2539130 Lewis DivideWest NicolesideDC09460(926)699-2959x61499
142GregoryCrossM2000-03-298455 Beth Spring Apt. 986TimothymouthMO81976705.668.5361
158RobynShermanF2001-01-1278443 Shelley GlensArnoldmouthPR37442+1-301-611-8059
161AngelaHallF1993-03-31992 Richards TrailTimothyburyND02774991-551-7347
166KelseyKellyF2007-10-08905 Danny RapidNew DouglasCO85978+1-984-965-9423
170WesleyPorterM2004-04-23407 Hunt Course Suite 409BridgetburyAZ94654680-470-1676x41754
179BrandonSchroederM2001-05-22248 Rose MountainLake TamiburghMP21021+1-845-637-4872x588
185RandyClarkM1989-09-1690744 Riley Island Suite 143New RebeccahavenVT80027610-310-9648x9223
189JacobDixonM1999-07-092523 Baker Forges Apt. 339South JessicaSC28224001-729-347-2962x297
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...

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Total: 34

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107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
108SherryMartinezF2000-05-2953980 Jennifer OrchardNicolelandFL88079638-594-3126x4188
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
113JoshuaFosterM1995-12-055977 Hannah Gateway Apt. 455AlexaburghIL25439954-732-8286
114GeorgeSanchezM2007-12-2655281 Small Glens Suite 794East JustinFL956314979279923
116AlfredSnyderM1992-07-1731613 Frank Road Apt. 815MartinsidePA33470880.832.0572x198
125ArielHawkinsF2002-01-0220104 Kimberly ClubHeathersideNV33834(953)452-1914x02596
126TaraDuncanF1992-10-1995977 Victoria Creek Suite 442New PaulGU91322+1-386-829-2550x2027
127CherylHawkinsF2007-08-092653 Lance DriveCrossboroughRI726487447138304
130PamelaBlevinsF1990-08-133266 Michael Villages Apt. 068New NathanlandVI97258274.333.7892
\n", + "

...

\n", + "

Total: 51

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "103 William Cabrera M 2007-10-07 1452 Little Sq Alexandrabury OK 78525 930.731.6737 \n", + "104 Emma Williams F 2006-01-25 1515 Andrea Fe North Victoria SC 68350 (725)950-3537x\n", + "107 Jennifer Henderson F 2004-07-03 2867 Brian Vis Port Amy NV 18620 209-483-8663x1\n", + "108 Sherry Martinez F 2000-05-29 53980 Jennifer Nicoleland FL 88079 638-594-3126x4\n", + "110 Summer Brown F 2000-08-14 5210 Herrera C East Joan IA 64238 (549)359-7826x\n", + "113 Joshua Foster M 1995-12-05 5977 Hannah Ga Alexaburgh IL 25439 954-732-8286 \n", + "114 George Sanchez M 2007-12-26 55281 Small Gl East Justin FL 95631 4979279923 \n", + "116 Alfred Snyder M 1992-07-17 31613 Frank Ro Martinside PA 33470 880.832.0572x1\n", + "125 Ariel Hawkins F 2002-01-02 20104 Kimberly Heatherside NV 33834 (953)452-1914x\n", + "126 Tara Duncan F 1992-10-19 95977 Victoria New Paul GU 91322 +1-386-829-255\n", + "127 Cheryl Hawkins F 2007-08-09 2653 Lance Dri Crossborough RI 72648 7447138304 \n", + "130 Pamela Blevins F 1990-08-13 3266 Michael V New Nathanland VI 97258 274.333.7892 \n", + " ...\n", + " (Total: 51)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Students who have not selected a major\n", + "Student - StudentMajor" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
100BarbaraCruzF1995-11-15877 Perez RouteSouth NathanlandSC37876+1-440-738-5021x919
101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
103WilliamCabreraM2007-10-071452 Little SquaresAlexandraburyOK78525930.731.6737
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
112CraigNolanM2001-12-08425 Nathan Turnpike Apt. 256SeanstadCA17904898.625.6573x46193
113JoshuaFosterM1995-12-055977 Hannah Gateway Apt. 455AlexaburghIL25439954-732-8286
114GeorgeSanchezM2007-12-2655281 Small Glens Suite 794East JustinFL956314979279923
\n", + "

...

\n", + "

Total: 170

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 Barbara Cruz F 1995-11-15 877 Perez Rout South Nathanla SC 37876 +1-440-738-502\n", + "101 Charles Lang M 2003-01-18 1443 Gaines Sh South Derrickh NY 17676 (685)341-0168x\n", + "103 William Cabrera M 2007-10-07 1452 Little Sq Alexandrabury OK 78525 930.731.6737 \n", + "105 Jessica Ruiz F 1988-09-16 4624 Dunn Cour Heatherburgh WV 39941 869.251.0923 \n", + "106 Daniel Bates M 1994-10-31 72318 Martinez Sarahborough AR 18566 (609)547-7753x\n", + "107 Jennifer Henderson F 2004-07-03 2867 Brian Vis Port Amy NV 18620 209-483-8663x1\n", + "109 Jill Wilson F 1994-02-28 97226 Scott Es Washingtonvill MA 42090 (744)453-4573x\n", + "110 Summer Brown F 2000-08-14 5210 Herrera C East Joan IA 64238 (549)359-7826x\n", + "111 Tina Ray F 1995-04-14 1407 Brandon R South Samuelfo KS 22351 001-839-569-70\n", + "112 Craig Nolan M 2001-12-08 425 Nathan Tur Seanstad CA 17904 898.625.6573x4\n", + "113 Joshua Foster M 1995-12-05 5977 Hannah Ga Alexaburgh IL 25439 954-732-8286 \n", + "114 George Sanchez M 2007-12-26 55281 Small Gl East Justin FL 95631 4979279923 \n", + " ...\n", + " (Total: 170)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Students who are taking courses in the current term\n", + "Student - (Enroll & CurrentTerm)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'SELECT `student_id`,`first_name`,`last_name`,`sex`,`date_of_birth`,`home_address`,`home_city`,`home_state`,`home_zip`,`home_phone` FROM `university`.`student` WHERE ((`student_id`) not in (SELECT `student_id` FROM `university`.`enroll` WHERE ((`term_year`,`term`) in (SELECT `term_year`,`term` FROM `university`.`current_term`))))'" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Student - (Enroll & CurrentTerm)).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ungraded courses\n", + "Enroll - Grade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ungraded courses in the current term\n", + "(Enroll & CurrentTerm) - Grade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students who have taken classes and have chosen a major\n", + "(Student & Enroll & StudentMajor)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Students who have taken classes or have chosen a major\n", + "Student & [Enroll, StudentMajor]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment in courses from the same department as the students' major\n", + "Enroll & StudentMajor" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Join" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

grade

\n", + " \n", + "
\n", + "

points

\n", + " \n", + "
\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section *grade points \n", + "+------------+ +------+ +--------+ +-----------+ +------+ +---------+ +-------+ +--------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Grade point values\n", + "Grade * LetterGrade" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

grade

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
\n", + "

course_name

\n", + " e.g. \"Neurobiology of Sensation and Movement.\"\n", + "
\n", + "

credits

\n", + " number of credits earned by completing the course\n", + "
\n", + "

auditorium

\n", + " \n", + "
\n", + "

points

\n", + " \n", + "
\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section *grade first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone course_name credits auditorium points \n", + "+------------+ +------+ +--------+ +-----------+ +------+ +---------+ +-------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +-----------+ +------------+ +----------+ +------------+ +------------+ +---------+ +------------+ +--------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Graded enrollments with complete course and student information\n", + "Student * Enroll * Course * Section * Grade * LetterGrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment with major information\n", + "Enroll * StudentMajor.proj(major='dept')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment outside chosen major\n", + "Enroll * StudentMajor.proj(major='dept') & 'major<>dept'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment not matching major \n", + "Enroll - StudentMajor " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Total grade points\n", + "(Course * Grade * LetterGrade).proj(total='points*credits')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Aggr" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students in each section\n", + "Section.aggr(Enroll, n='count(*)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Average grade in each course\n", + "Course.aggr(Grade*LetterGrade, avg_grade='avg(points)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Fraction graded in each section\n", + "(Section.aggr(Enroll,n='count(*)') * Section.aggr(Grade, m='count(*)')).proj(\n", + " 'm','n',frac='m/n')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Student GPA\n", + "Student.aggr(Course * Grade * LetterGrade, \n", + " gpa='sum(points*credits)/sum(credits)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Average GPA for each major\n", + "gpa = Student.aggr(Course * Grade * LetterGrade,\n", + " gpa='sum(points*credits)/sum(credits)')\n", + "Department.aggr(StudentMajor*gpa, avg_gpa='avg(gpa)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 168ac6d7d713893d31fcf5102cd2985dd235cf55 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 12 Sep 2023 21:27:04 +0000 Subject: [PATCH 03/33] add 002-Tables --- db-course/001-University.ipynb | 7 +++ db-course/002-Tables-DJ.ipynb | 83 ++++++++++++++++++++++++++++++++++ 2 files changed, 90 insertions(+) create mode 100644 db-course/002-Tables-DJ.ipynb diff --git a/db-course/001-University.ipynb b/db-course/001-University.ipynb index 132eae4..74697b5 100644 --- a/db-course/001-University.ipynb +++ b/db-course/001-University.ipynb @@ -13,6 +13,13 @@ "import datajoint as dj" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/db-course/002-Tables-DJ.ipynb b/db-course/002-Tables-DJ.ipynb new file mode 100644 index 0000000..df5cac5 --- /dev/null +++ b/db-course/002-Tables-DJ.ipynb @@ -0,0 +1,83 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.Schema('test')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Car(dj.Manual):\n", + " definition = \"\"\"\n", + " vin : char(17)\n", + " ---\n", + " make : varchar(16)\n", + " year : year\n", + " \"\"\" " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "@schema \n", + "class Classroom(dj.Manual):\n", + " definition = \"\"\"\n", + " building_code : char(3)\n", + " room_number : smallint unsigned \n", + " ---\n", + " capacity : smallint unsigned\n", + " \"\"\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 245df6753d0d75cb023def52da46f4f1187be281 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 12 Sep 2023 22:16:23 +0000 Subject: [PATCH 04/33] add 003-ForeignKeys --- db-course/002-Tables-DJ.ipynb | 77 +++++++++++++++ db-course/003-ForeignKeys-DJ.ipynb | 149 +++++++++++++++++++++++++++++ 2 files changed, 226 insertions(+) create mode 100644 db-course/003-ForeignKeys-DJ.ipynb diff --git a/db-course/002-Tables-DJ.ipynb b/db-course/002-Tables-DJ.ipynb index df5cac5..2f4a48e 100644 --- a/db-course/002-Tables-DJ.ipynb +++ b/db-course/002-Tables-DJ.ipynb @@ -1,5 +1,82 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tables\n", + "\n", + "The only data structure in relational databases is a table. All data are organized as tables. Tables cannot be nested. Tables have named columns. Each column has a datatype.\n", + "\n", + "## Schema\n", + "A schema is a set of tables, their definitions, including data integrity constraints.\n", + "\n", + "## \"Scholarly\" Terminology \n", + "* Tables = relation\n", + "* Column = attribute\n", + "* Datatype = domain\n", + "* Row = tuple\n", + "* Field = attribute value\n", + "\n", + "## Relations\n", + "Relational databases come from 19th-century set theory concepts. A *relation* is a \n", + "\n", + "## First normal form\n", + " https://en.wikipedia.org/wiki/First_normal_form\n", + "\n", + "* All data are in relational tables\n", + "* No repeated columns \n", + "* No value in the table can contain another table (tables are not nested)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Second and Third Normal Form\n", + "\n", + "* https://en.wikipedia.org/wiki/Second_normal_form\n", + "* https://en.wikipedia.org/wiki/Third_normal_form\n", + "* All secondary attributes apply to the entity itself and to the whole entity\n", + "* \"All attributes describe the key, the whole key, and nothing but the key\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Types\n", + "https://dev.mysql.com/doc/refman/8.0/en/data-types.html\n", + "\n", + "* `int [unsigned]`, `smallint [unsigned]`, `tinyint`, `bigint`\n", + "* `char(n)`, `varchar(n)`\n", + "* `decimal(m, n)` same as `numeric`\n", + "* `enum`\n", + "* `float`, `double` - don't use in primary keys\n", + "* `date`\n", + "\n", + "\n", + "## Entity Integrity\n", + "* Each table represents a well-defined entity type from the real world. We reflect this in the table name. The name of the table reflects the entity class represented by each row in the table.\n", + "* For each entity type, enforce 1:1 correspondence between the real-world entity and its representation in the table. How can you do it?\n", + "* In the real-world, we need to permanently associate a persistent identifier to each entity of the class. The database cannot do it by itself.\n", + "* The database can use the permanent identifier to enforce uniqueness in the table.\n", + "* **Primary key** - unique, non-nullable. Primary way to identify\n", + "* Secondary unique indexes can be nullable\n", + "* Entity integrity may require a complex set of enterprise rules.\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, { "cell_type": "code", "execution_count": 1, diff --git a/db-course/003-ForeignKeys-DJ.ipynb b/db-course/003-ForeignKeys-DJ.ipynb new file mode 100644 index 0000000..c1915c3 --- /dev/null +++ b/db-course/003-ForeignKeys-DJ.ipynb @@ -0,0 +1,149 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Referential integrity" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Referential integrity\n", + "\n", + "Corresponding entities between different tables are correctly matched. Avoid mismatches" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Diagramming notation \n", + "\n", + "- Entity-relationship diagram" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj\n", + "\n", + "schema = dj.Schema('person')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Title(dj.Lookup):\n", + " definition = \"\"\"\n", + " title_code : char(8)\n", + " ---\n", + " full_title : varchar(120)\n", + " \"\"\"\n", + " \n", + " contents = [\n", + " (\"SW-Dev1\", \"Software Developer 1\"),\n", + " (\"SW-Dev2\", \"Software Developer 2\"),\n", + " (\"SW-Dev3\", \"Software Developer 3\"),\n", + " (\"Web-Dev1\", \"Web Developer 1\"),\n", + " (\"Web-Dev2\", \"Web Developer 2\"),\n", + " (\"Web-Dev3\", \"Web Developer 3\"),\n", + " (\"HR-Mgr\", \"Human Resources Manager\")\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int \n", + " ---\n", + " first_name : varchar(30)\n", + " last_name : varchar(30)\n", + " -> Title\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "@schema \n", + "class Language(dj.Lookup):\n", + " definition = \"\"\"\n", + " lang_code : char(8)\n", + " ---\n", + " language : varchar(20)\n", + " \"\"\"\n", + " \n", + " contents = [\n", + " (\"Eng\", \"English\"),\n", + " (\"Nav\", \"Navajo\"),\n", + " (\"Fr\", \"French\"),\n", + " (\"It\", \"Italian\") \n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class LanguageSkill(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " -> Language\n", + " ---\n", + " skill_level : enum(\"beginner\", \"intermediate\", \"fluent\", \"native\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From afa10723954d1d0b9fe5b59ae6aae813b829969b Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 13 Sep 2023 01:06:24 +0000 Subject: [PATCH 05/33] add ForeignKeys --- db-course/003-ForeignKeys-DJ.ipynb | 1091 ++++++++++++++++++++++++++- db-course/003-ForeignKeys-SQL.ipynb | 697 +++++++++++++++++ 2 files changed, 1780 insertions(+), 8 deletions(-) create mode 100644 db-course/003-ForeignKeys-SQL.ipynb diff --git a/db-course/003-ForeignKeys-DJ.ipynb b/db-course/003-ForeignKeys-DJ.ipynb index c1915c3..921e930 100644 --- a/db-course/003-ForeignKeys-DJ.ipynb +++ b/db-course/003-ForeignKeys-DJ.ipynb @@ -13,7 +13,9 @@ "source": [ "## Referential integrity\n", "\n", - "Corresponding entities between different tables are correctly matched. Avoid mismatches" + "* Correcting matching of corresponding entities across the schema\n", + "* Relies on entity integrity\n", + "* Enfornced by foreign keys" ] }, { @@ -25,11 +27,27 @@ "- Entity-relationship diagram" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Examples" + ] + }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-09-12 23:54:22,515][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-09-12 23:54:22,522][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "\n", @@ -38,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -63,7 +81,112 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

title_code

\n", + " \n", + "
\n", + "

full_title

\n", + " \n", + "
HR-MgrHuman Resources Manager
SW-Dev1Software Developer 1
SW-Dev2Software Developer 2
SW-Dev3Software Developer 3
Web-Dev1Web Developer 1
Web-Dev2Web Developer 2
Web-Dev3Web Developer 3
\n", + " \n", + "

Total: 7

\n", + " " + ], + "text/plain": [ + "*title_code full_title \n", + "+------------+ +------------+\n", + "HR-Mgr Human Resource\n", + "SW-Dev1 Software Devel\n", + "SW-Dev2 Software Devel\n", + "SW-Dev3 Software Devel\n", + "Web-Dev1 Web Developer \n", + "Web-Dev2 Web Developer \n", + "Web-Dev3 Web Developer \n", + " (Total: 7)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Title()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -74,15 +197,522 @@ " ---\n", " first_name : varchar(30)\n", " last_name : varchar(30)\n", - " -> Title\n", " \"\"\"" ] }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Title\n", + "\n", + "\n", + "Title\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], + "source": [ + "Person.insert1((1, \"Bob\", \"Builder\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Department(dj.Lookup):\n", + " definition = \"\"\"\n", + " dept_code : char(4) \n", + " --- \n", + " dept_name : varchar(200) \n", + " \"\"\"\n", + "\n", + " contents = (\n", + " (\"BIOL\", \"Biology\"),\n", + " (\"MATH\", \"Mathematics\"),\n", + " (\"STAT\", \"Statistics\"),\n", + " (\"ENG\", \"English\")\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " -> Department\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Employee(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " -> Title\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->Student\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Title\n", + "\n", + "\n", + "Title\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Title->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Person->Student\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Foreign keys have 4 effects\n", + "0. The primary key of the parent becomes part of the child definition (the foreign key)\n", + "1. Prevent inserts into child table if no match in parent\n", + "2. Restrict deletes from parent if there is a matching child \n", + "3. Create an index in child to make searches fast on the value of the FK value." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

dept_code

\n", + " \n", + "
\n", + "

dept_name

\n", + " \n", + "
BIOLBiology
ENGEnglish
MATHMathematics
STATStatistics
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*dept_code dept_name \n", + "+-----------+ +------------+\n", + "BIOL Biology \n", + "ENG English \n", + "MATH Mathematics \n", + "STAT Statistics \n", + " (Total: 4)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Department()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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dept_code

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Total: 0

\n", + " " + ], + "text/plain": [ + "*person_id dept_code \n", + "+-----------+ +-----------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Student()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
1BobBuilder
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*person_id first_name last_name \n", + "+-----------+ +------------+ +-----------+\n", + "1 Bob Builder \n", + " (Total: 1)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "Student.insert1((1, \"BIOL\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], "source": [ "@schema \n", "class Language(dj.Lookup):\n", @@ -96,13 +726,118 @@ " (\"Eng\", \"English\"),\n", " (\"Nav\", \"Navajo\"),\n", " (\"Fr\", \"French\"),\n", - " (\"It\", \"Italian\") \n", + " (\"It\", \"Italian\"),\n", + " (\"Sp\", \"Spanish\"),\n", + " (\"Ar\", \"Arabic\") \n", " ]" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

lang_code

\n", + " \n", + "
\n", + "

language

\n", + " \n", + "
ArArabic
EngEnglish
FrFrench
ItItalian
NavNavajo
SpSpanish
\n", + " \n", + "

Total: 6

\n", + " " + ], + "text/plain": [ + "*lang_code language \n", + "+-----------+ +----------+\n", + "Ar Arabic \n", + "Eng English \n", + "Fr French \n", + "It Italian \n", + "Nav Navajo \n", + "Sp Spanish \n", + " (Total: 6)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Language()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -116,6 +851,346 @@ " \"\"\"" ] }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

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lang_code

\n", + " \n", + "
\n", + "

skill_level

\n", + " \n", + "
\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*person_id *lang_code skill_level \n", + "+-----------+ +-----------+ +------------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "LanguageSkill()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "LanguageSkill.insert1((1, \"Sp\", \"fluent\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

\n", + " \n", + "
\n", + "

lang_code

\n", + " \n", + "
\n", + "

skill_level

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

language

\n", + " \n", + "
1EngbeginnerBobBuilderEnglish
1SpfluentBobBuilderSpanish
\n", + " \n", + "

Total: 2

\n", + " " + ], + "text/plain": [ + "*person_id *lang_code skill_level first_name last_name language \n", + "+-----------+ +-----------+ +------------+ +------------+ +-----------+ +----------+\n", + "1 Eng beginner Bob Builder English \n", + "1 Sp fluent Bob Builder Spanish \n", + " (Total: 2)" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "LanguageSkill * Person * Language" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->Student\n", + "\n", + "\n", + "\n", + "\n", + "LanguageSkill\n", + "\n", + "\n", + "LanguageSkill\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Language\n", + "\n", + "\n", + "Language\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Language->LanguageSkill\n", + "\n", + "\n", + "\n", + "\n", + "Title\n", + "\n", + "\n", + "Title\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Title->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->LanguageSkill\n", + "\n", + "\n", + "\n", + "\n", + "Person->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Person->Student\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/db-course/003-ForeignKeys-SQL.ipynb b/db-course/003-ForeignKeys-SQL.ipynb new file mode 100644 index 0000000..15e479d --- /dev/null +++ b/db-course/003-ForeignKeys-SQL.ipynb @@ -0,0 +1,697 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "connection_string = \"mysql://root:simple@127.0.0.1\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "%sql $connection_string" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "6 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Database
information_schema
mysql
performance_schema
person
sys
test
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Tables_in_person2
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ArArabic
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FrFrench
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SpSpanish
" + ], + "text/plain": [ + "[('Ar', 'Arabic'),\n", + " ('Eng', 'English'),\n", + " ('Fr', 'French'),\n", + " ('It', 'Italian'),\n", + " ('Nav', 'Navajo'),\n", + " ('Sp', 'Spanish')]" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT * FROM language" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE language_skill (\n", + " person_id int NOT NULL,\n", + " language_code char(8) NOT NULL,\n", + " skill_level enum(\"beginner\", \"intermediate\", \"fluent\", \"native\") NOT NULL,\n", + " PRIMARY KEY(person_id),\n", + " FOREIGN KEY(language_code) REFERENCES language(language_code),\n", + " FOREIGN KEY(person_id) REFERENCES person(person_id)\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 1e8b0257beacb4d6f2e42ea986e7532ec2822b51 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 20 Sep 2023 01:12:56 +0000 Subject: [PATCH 06/33] add 004-Design --- db-course/004-Design.ipynb | 1142 +++++++++++++++++++++++++++++++++ db-course/004-DesignSQL.ipynb | 536 ++++++++++++++++ 2 files changed, 1678 insertions(+) create mode 100644 db-course/004-Design.ipynb create mode 100644 db-course/004-DesignSQL.ipynb diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb new file mode 100644 index 0000000..963354f --- /dev/null +++ b/db-course/004-Design.ipynb @@ -0,0 +1,1142 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Design\n", + "\n", + "## Problem 4. Online App\n", + "\n", + "You are designing a smart phone app\n", + "\n", + "1. Users can subscribe for free, identified by their US phone number without extensions. Provide first and last name.\n", + "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVC.\n", + "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", + "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-09-19 23:12:49,751][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-09-19 23:12:49,831][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "schema = dj.Schema('app')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Account(dj.Manual):\n", + " definition = \"\"\"\n", + " phone : bigint unsigned \n", + " ---\n", + " first_name : varchar(30)\n", + " last_name : varchar(30)\n", + " \"\"\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class CreditCard(dj.Manual):\n", + " definition = \"\"\"\n", + " card_number : bigint unsigned \n", + " ---\n", + " exp_date : date \n", + " cvc : smallint unsigned\n", + " zipcode : int unsigned \n", + " -> Account\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from faker import Faker\n", + "fake = Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class AddOn(dj.Lookup):\n", + " definition = \"\"\"\n", + " addon_id : int\n", + " ---\n", + " addon_name : varchar(30)\n", + " price : decimal(5, 2) unsigned\n", + " \"\"\"\n", + "\n", + " contents = ((1, \"Track & Field\", 13.99), (2, \"Marathon\", 26.2), (3, \"Sprint\", 100.00))" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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price

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Total: 3

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Total: 1

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Total: 0

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phone

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\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*card_number exp_date cvc zipcode phone \n", + "+------------+ +----------+ +-----+ +---------+ +-------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CreditCard()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "keys = Account.fetch(\"KEY\")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fake.credit_card_number" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "CreditCard.insert1(\n", + " dict(random.choice(keys), \n", + " zipcode=random.randint(10000,99999), \n", + " card_number=int(fake.credit_card_number()),\n", + " cvc=random.randint(1, 999), \n", + " exp_date=fake.future_date()))" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "CreditCard.insert(\n", + " dict(random.choice(keys), \n", + " zipcode=random.randint(10000,99999), \n", + " card_number=int(fake.credit_card_number()),\n", + " cvc=random.randint(1, 999), \n", + " exp_date=fake.future_date()) for _ in range(15000))" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "purchase_key = ((Account & CreditCard) * AddOn).fetch('KEY', limit=1)[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "Purchase.insert1(dict(purchase_key, **(CreditCard & purchase_key).fetch('KEY')[0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

addon_id

\n", + " \n", + "
\n", + "

card_number

\n", + " \n", + "
100253664733376154262563571
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*phone *addon_id card_number \n", + "+------------+ +----------+ +------------+\n", + "10025366473 3 37615426256357\n", + " (Total: 1)" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Purchase()" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'SELECT `phone`,`addon_id`,`card_number`,`addon_name`,`price`,`first_name`,`last_name` FROM `app`.`purchase` NATURAL JOIN `app`.`#add_on` NATURAL JOIN `app`.`account`'" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Purchase * AddOn * Account).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/004-DesignSQL.ipynb b/db-course/004-DesignSQL.ipynb new file mode 100644 index 0000000..18a0bb7 --- /dev/null +++ b/db-course/004-DesignSQL.ipynb @@ -0,0 +1,536 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Design\n", + "\n", + "## Problem 4. Online App\n", + "\n", + "You are designing a smart phone app\n", + "\n", + "1. Users can subscribe for free, identified by their US phone number without extensions. Provide first and last name.\n", + "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVC.\n", + "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", + "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sql extension is already loaded. To reload it, use:\n", + " %reload_ext sql\n" + ] + } + ], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "\n", + "connection_string = \"mysql://root:simple@127.0.0.1\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "%sql $connection_string" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE SCHEMA IF NOT EXISTS app2" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "USE app2" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Tables_in_app2
" + ], + "text/plain": [ + "[]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SHOW TABLES" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE account (\n", + " phone bigint unsigned NOT NULL,\n", + " first_name varchar(30) NOT NULL,\n", + " last_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (phone)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE credit_card (\n", + " card_number bigint unsigned NOT NULL,\n", + " cvc smallint unsigned NOT NULL,\n", + " exp_date date NOT NULL,\n", + " zipcode int unsigned NOT NULL,\n", + " phone bigint unsigned NOT NULL,\n", + " PRIMARY KEY (card_number),\n", + " FOREIGN KEY (phone) REFERENCES account(phone)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "CREATE TABLE addon (\n", + " addon_id int NOT NULL,\n", + " addon_name varchar(30) NOT NULL,\n", + " price decimal(5,2) unsigned NOT NULL,\n", + " PRIMARY KEY(addon_id)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "(pymysql.err.OperationalError) (1050, \"Table 'purchase' already exists\")\n", + "[SQL: CREATE TABLE purchase (\n", + " phone bigint unsigned NOT NULL,\n", + " addon_id int NOT NULL,\n", + " card_number bigint unsigned NOT NULL,\n", + " PRIMARY KEY (phone, addon_id),\n", + " FOREIGN KEY (card_number) REFERENCES credit_card(card_number),\n", + " FOREIGN KEY (phone) REFERENCES account(phone),\n", + " FOREIGN KEY (addon_id) REFERENCES addon(addon_id)\n", + ")]\n", + "(Background on this error at: https://sqlalche.me/e/20/e3q8)\n" + ] + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE purchase (\n", + " phone bigint unsigned NOT NULL,\n", + " addon_id int NOT NULL,\n", + " card_number bigint unsigned NOT NULL,\n", + " PRIMARY KEY (phone, addon_id),\n", + " FOREIGN KEY (card_number) REFERENCES credit_card(card_number),\n", + " FOREIGN KEY (phone) REFERENCES account(phone),\n", + " FOREIGN KEY (addon_id) REFERENCES addon(addon_id)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "2 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "INSERT account VALUES (7133996769, 'Anne', 'Smith'), (7139993769, 'Jackie', 'Smith') " + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "INSERT credit_card VALUES (12310983234238, 123, '2023-12-12', '77006', 7133996769)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "INSERT addon VALUES (1, \"Sprint\", 100.00)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "INSERT purchase VALUES (7133996769, 1, 12310983234238)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phoneaddon_idcard_numberaddon_namepricefirst_namelast_name
7133996769112310983234238Sprint100.00AnneSmith
" + ], + "text/plain": [ + "[(7133996769, 1, 12310983234238, 'Sprint', Decimal('100.00'), 'Anne', 'Smith')]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT * FROM purchase NATURAL JOIN addon NATURAL JOIN account " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 07a95046513bba88fe18a8401ea958f6bd59a330 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 26 Sep 2023 22:22:20 +0000 Subject: [PATCH 07/33] clean up 004-Design --- db-course/004-Design.ipynb | 975 +++---------------------------------- 1 file changed, 56 insertions(+), 919 deletions(-) diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb index 963354f..bd081fa 100644 --- a/db-course/004-Design.ipynb +++ b/db-course/004-Design.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Design\n", - "\n", - "## Problem 4. Online App\n", + "# Problem Statement: \"The Phone App\"\n", "\n", "You are designing a smart phone app\n", "\n", @@ -16,9 +14,16 @@ "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Design" + ] + }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -27,25 +32,16 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-09-19 23:12:49,751][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-09-19 23:12:49,831][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], + "outputs": [], "source": [ "schema = dj.Schema('app')" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -61,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -79,68 +75,7 @@ }, { "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "from faker import Faker\n", - "fake = Faker()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -158,110 +93,16 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

addon_id

\n", - " \n", - "
\n", - "

addon_name

\n", - " \n", - "
\n", - "

price

\n", - " \n", - "
1Track & Field13.99
2Marathon26.20
3Sprint100.00
\n", - " \n", - "

Total: 3

\n", - " " - ], - "text/plain": [ - "*addon_id addon_name price \n", - "+----------+ +------------+ +--------+\n", - "1 Track & Field 13.99 \n", - "2 Marathon 26.20 \n", - "3 Sprint 100.00 \n", - " (Total: 3)" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "AddOn()" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -277,294 +118,49 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

card_number

\n", - " \n", - "
\n", - "

exp_date

\n", - " \n", - "
\n", - "

cvc

\n", - " \n", - "
\n", - "

zipcode

\n", - " \n", - "
\n", - "

phone

\n", - " \n", - "
302327288629992023-10-09709283214709094729
\n", - " \n", - "

Total: 1

\n", - " " - ], - "text/plain": [ - "*card_number exp_date cvc zipcode phone \n", - "+------------+ +------------+ +-----+ +---------+ +------------+\n", - "30232728862999 2023-10-09 709 2832 14709094729 \n", - " (Total: 1)" - ] - }, - "execution_count": 67, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "CreditCard()" + "Purchase()" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "dj.Diagram(schema)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Populate \n", + "Now we will populate the database with fake data" + ] + }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "
\n", - "

phone

\n", - " \n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - " \n", - "

Total: 0

\n", - " " - ], - "text/plain": [ - "*phone first_name last_name \n", - "+-------+ +------------+ +-----------+\n", - "\n", - " (Total: 0)" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "Account()" + "import random\n", + "from tqdm import tqdm\n", + "from faker import Faker\n", + "fake = Faker()" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ + "# insert one account\n", "Account.insert1(dict(\n", " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", " first_name=fake.first_name(),\n", @@ -573,10 +169,11 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ + "# insert many accounts\n", "Account.insert(dict(\n", " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", " first_name=fake.first_name(),\n", @@ -585,289 +182,30 @@ }, { "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "65536" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "2**16" - ] - }, - { - "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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...

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Total: 10003

\n", - " " - ], - "text/plain": [ - "*phone first_name last_name \n", - "+------------+ +------------+ +-----------+\n", - "10004941735 Allison Underwood \n", - "10025366473 Christopher Petty \n", - "10044826023 Alan Reynolds \n", - "10050836680 Andrew Morrison \n", - "10051646762 Katherine Delgado \n", - "10057979176 Debbie Zimmerman \n", - "10067431110 Drew Reed \n", - "10070524656 Johnathan Rodriguez \n", - "10072025793 Brent Miller \n", - "10077808909 Jennifer Young \n", - "10095411023 Ashley Jones \n", - "10096339067 Stephanie Mullins \n", - " ...\n", - " (Total: 10003)" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Account()" ] }, { "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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exp_date

\n", - " \n", - "
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cvc

\n", - " \n", - "
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zipcode

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Total: 0

\n", - " " - ], - "text/plain": [ - "*card_number exp_date cvc zipcode phone \n", - "+------------+ +----------+ +-----+ +---------+ +-------+\n", - "\n", - " (Total: 0)" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "CreditCard()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ + "# get account ids:\n", "keys = Account.fetch(\"KEY\")" ] }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "import random" - ] - }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "fake.credit_card_number" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [], - "source": [ + "# insert one credit cards\n", "CreditCard.insert1(\n", " dict(random.choice(keys), \n", " zipcode=random.randint(10000,99999), \n", @@ -878,10 +216,11 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ + "# insert many credit cards\n", "CreditCard.insert(\n", " dict(random.choice(keys), \n", " zipcode=random.randint(10000,99999), \n", @@ -892,229 +231,27 @@ }, { "cell_type": "code", - "execution_count": 76, - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": 89, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "purchase_key = ((Account & CreditCard) * AddOn).fetch('KEY', limit=1)[0]" + "# insert random subsamples. Run this several times to populate more\n", + "purchases = (Account * CreditCard * AddOn - Purchase).fetch(\"KEY\")\n", + "for _ in tqdm(range(100)):\n", + " try:\n", + " Purchase.insert(random.sample(purchases, 30))\n", + " except dj.errors.DuplicateError:\n", + " continue\n" ] }, { "cell_type": "code", - "execution_count": 93, + "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "Purchase.insert1(dict(purchase_key, **(CreditCard & purchase_key).fetch('KEY')[0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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\n", + "

...

\n", + "

Total: 2040

\n", + " " + ], + "text/plain": [ + "*phone *addon_id card_number \n", + "+------------+ +----------+ +------------+\n", + "69033213933 2 60402591683 \n", + "40466455515 2 60403133279 \n", + "51804464715 2 60412773222 \n", + "51804464715 3 60412773222 \n", + "98851803995 2 60417733148 \n", + "41945689731 3 60427078948 \n", + "44228721095 3 60446518957 \n", + "82097048047 1 60446867701 \n", + "81700356994 1 60450824788 \n", + "54645599699 2 60451279867 \n", + "84085522668 2 60460028834 \n", + "68092498318 1 60464072473 \n", + " ...\n", + " (Total: 2040)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Purchase()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Queries\n", + "\n", + "## Simple queries" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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10010213238StaceyMitchell2015-10-02
10012512171JamesHenderson1920-10-09
10017661220DonaldAnderson1955-04-16
10025696662JamesSmall2016-12-29
10037061898DeborahFoley1929-02-06
10046294691GwendolynTurner2020-12-19
10046839321MarciaMartinez1990-07-15
10068182298VictorClark1986-09-13
10070173668RonaldDuffy1969-03-23
10070547405LeahPratt1986-06-06
10079669194RyanJohnson1978-03-08
\n", + "

...

\n", + "

Total: 10001

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10008004398 Thomas Li 2009-05-22 \n", + "10010213238 Stacey Mitchell 2015-10-02 \n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10025696662 James Small 2016-12-29 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10068182298 Victor Clark 1986-09-13 \n", + "10070173668 Ronald Duffy 1969-03-23 \n", + "10070547405 Leah Pratt 1986-06-06 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + " ...\n", + " (Total: 10001)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'phone': 10008004398,\n", + " 'first_name': 'Thomas',\n", + " 'last_name': 'Li',\n", + " 'dob': datetime.date(2009, 5, 22)},\n", + " {'phone': 10010213238,\n", + " 'first_name': 'Stacey',\n", + " 'last_name': 'Mitchell',\n", + " 'dob': datetime.date(2015, 10, 2)},\n", + " {'phone': 10012512171,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Henderson',\n", + " 'dob': datetime.date(1920, 10, 9)},\n", + " {'phone': 10017661220,\n", + " 'first_name': 'Donald',\n", + " 'last_name': 'Anderson',\n", + " 'dob': datetime.date(1955, 4, 16)},\n", + " {'phone': 10025696662,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Small',\n", + " 'dob': datetime.date(2016, 12, 29)},\n", + " {'phone': 10037061898,\n", + " 'first_name': 'Deborah',\n", + " 'last_name': 'Foley',\n", + " 'dob': datetime.date(1929, 2, 6)},\n", + " {'phone': 10046294691,\n", + " 'first_name': 'Gwendolyn',\n", + " 'last_name': 'Turner',\n", + " 'dob': datetime.date(2020, 12, 19)},\n", + " {'phone': 10046839321,\n", + " 'first_name': 'Marcia',\n", + " 'last_name': 'Martinez',\n", + " 'dob': datetime.date(1990, 7, 15)},\n", + " {'phone': 10068182298,\n", + " 'first_name': 'Victor',\n", + " 'last_name': 'Clark',\n", + " 'dob': datetime.date(1986, 9, 13)},\n", + " {'phone': 10070173668,\n", + " 'first_name': 'Ronald',\n", + " 'last_name': 'Duffy',\n", + " 'dob': datetime.date(1969, 3, 23)},\n", + " {'phone': 10070547405,\n", + " 'first_name': 'Leah',\n", + " 'last_name': 'Pratt',\n", + " 'dob': datetime.date(1986, 6, 6)},\n", + " {'phone': 10079669194,\n", + " 'first_name': 'Ryan',\n", + " 'last_name': 'Johnson',\n", + " 'dob': datetime.date(1978, 3, 8)},\n", + " {'phone': 10092945283,\n", + " 'first_name': 'Deanna',\n", + " 'last_name': 'Hayes',\n", + " 'dob': datetime.date(2015, 8, 16)},\n", + " {'phone': 10095918854,\n", + " 'first_name': 'Raymond',\n", + " 'last_name': 'Adams',\n", + " 'dob': datetime.date(2018, 5, 22)},\n", + " {'phone': 10099464091,\n", + " 'first_name': 'Matthew',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1949, 5, 4)},\n", + " {'phone': 10102995813,\n", + " 'first_name': 'David',\n", + " 'last_name': 'Young',\n", + " 'dob': datetime.date(1923, 12, 29)},\n", + " {'phone': 10116323806,\n", + " 'first_name': 'Scott',\n", + " 'last_name': 'Hernandez',\n", + " 'dob': datetime.date(1930, 11, 1)},\n", + " {'phone': 10120727834,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Rodriguez',\n", + " 'dob': datetime.date(1951, 4, 10)},\n", + " {'phone': 10127762503,\n", + " 'first_name': 'Tracy',\n", + " 'last_name': 'Mack',\n", + " 'dob': datetime.date(1970, 4, 14)},\n", + " {'phone': 10151756488,\n", + " 'first_name': 'Chelsea',\n", + " 'last_name': 'Cox',\n", + " 'dob': datetime.date(1940, 12, 19)},\n", + " {'phone': 10152397506,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Wade',\n", + " 'dob': datetime.date(1963, 4, 15)},\n", + " {'phone': 10153686421,\n", + " 'first_name': 'Aaron',\n", + " 'last_name': 'Bradley',\n", + " 'dob': datetime.date(1912, 2, 4)},\n", + " 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+ " 'first_name': 'Ryan',\n", + " 'last_name': 'Lewis',\n", + " 'dob': datetime.date(2012, 10, 29)},\n", + " {'phone': 18624967007,\n", + " 'first_name': 'Tina',\n", + " 'last_name': 'Martinez',\n", + " 'dob': datetime.date(2003, 5, 13)},\n", + " {'phone': 18626630589,\n", + " 'first_name': 'Tanner',\n", + " 'last_name': 'Lopez',\n", + " 'dob': datetime.date(1963, 2, 20)},\n", + " {'phone': 18630226797,\n", + " 'first_name': 'John',\n", + " 'last_name': 'Lewis',\n", + " 'dob': datetime.date(2022, 4, 8)},\n", + " {'phone': 18634514430,\n", + " 'first_name': 'William',\n", + " 'last_name': 'Lloyd',\n", + " 'dob': datetime.date(2002, 6, 3)},\n", + " {'phone': 18642736030,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Ross',\n", + " 'dob': datetime.date(1910, 3, 7)},\n", + " {'phone': 18650922566,\n", + " 'first_name': 'Edwin',\n", + " 'last_name': 'Thompson',\n", + " 'dob': datetime.date(1923, 11, 26)},\n", + " {'phone': 18657578379,\n", + " 'first_name': 'Chris',\n", + " 'last_name': 'Richard',\n", + " 'dob': datetime.date(1999, 7, 2)},\n", + " {'phone': 18658235549,\n", + " 'first_name': 'Charles',\n", + " 'last_name': 'Peters',\n", + " 'dob': datetime.date(1929, 11, 21)},\n", + " {'phone': 18671668169,\n", + " 'first_name': 'Jason',\n", + " 'last_name': 'Reeves',\n", + " 'dob': datetime.date(1991, 4, 19)},\n", + " {'phone': 18671960187,\n", + " 'first_name': 'Nicholas',\n", + " 'last_name': 'Vasquez',\n", + " 'dob': datetime.date(1962, 10, 13)},\n", + " {'phone': 18678273506,\n", + " 'first_name': 'Joel',\n", + " 'last_name': 'Mcdonald',\n", + " 'dob': datetime.date(2013, 4, 26)},\n", + " {'phone': 18687771593,\n", + " 'first_name': 'Wendy',\n", + " 'last_name': 'Brooks',\n", + " 'dob': datetime.date(1929, 8, 5)},\n", + " {'phone': 18690145667,\n", + " 'first_name': 'Caleb',\n", + " 'last_name': 'Parks',\n", + " 'dob': datetime.date(2012, 4, 18)},\n", + " {'phone': 18694060191,\n", + " 'first_name': 'Cindy',\n", + " 'last_name': 'Eaton',\n", + " 'dob': datetime.date(2011, 5, 1)},\n", + " {'phone': 18701081554,\n", + " 'first_name': 'Heather',\n", + " 'last_name': 'Simmons',\n", + " 'dob': datetime.date(1986, 12, 7)},\n", + " {'phone': 18702650499,\n", + " 'first_name': 'Christopher',\n", + " 'last_name': 'Carr',\n", + " 'dob': datetime.date(1995, 8, 28)},\n", + " {'phone': 18704860034,\n", + " 'first_name': 'Ryan',\n", + " 'last_name': 'Cain',\n", + " 'dob': datetime.date(1984, 8, 1)},\n", + " {'phone': 18711094819,\n", + " 'first_name': 'Tracy',\n", + " 'last_name': 'White',\n", + " 'dob': datetime.date(1926, 9, 30)},\n", + " {'phone': 18712144674,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Freeman',\n", + " 'dob': datetime.date(1931, 11, 21)},\n", + " {'phone': 18714423464,\n", + " 'first_name': 'Christian',\n", + " 'last_name': 'Williams',\n", + " 'dob': datetime.date(1967, 11, 27)},\n", + " {'phone': 18714813658,\n", + " 'first_name': 'Audrey',\n", + " 'last_name': 'Miller',\n", + " 'dob': datetime.date(1945, 5, 14)},\n", + " {'phone': 18719527489,\n", + " 'first_name': 'Beverly',\n", + " 'last_name': 'Walker',\n", + " 'dob': datetime.date(1981, 12, 4)},\n", + " {'phone': 18719566606,\n", + " 'first_name': 'Andrew',\n", + " 'last_name': 'Barnes',\n", + " 'dob': datetime.date(1946, 4, 19)},\n", + " {'phone': 18726653453,\n", + " 'first_name': 'Stephen',\n", + " 'last_name': 'Howell',\n", + " 'dob': datetime.date(1931, 10, 8)},\n", + " {'phone': 18743771240,\n", + " 'first_name': 'Andrew',\n", + " 'last_name': 'Galvan',\n", + " 'dob': datetime.date(1924, 8, 8)},\n", + " {'phone': 18751420736,\n", + " 'first_name': 'Norma',\n", + " 'last_name': 'Davis',\n", + " 'dob': datetime.date(1915, 8, 21)},\n", + " {'phone': 18752501456,\n", + " 'first_name': 'Frank',\n", + " 'last_name': 'Lee',\n", + " 'dob': datetime.date(1970, 10, 3)},\n", + " {'phone': 18753629307,\n", + " 'first_name': 'Bruce',\n", + " 'last_name': 'Luna',\n", + " 'dob': datetime.date(1938, 10, 2)},\n", + " {'phone': 18769886504,\n", + " 'first_name': 'Bryan',\n", + " 'last_name': 'Bryant',\n", + " 'dob': datetime.date(1917, 7, 26)},\n", + " {'phone': 18772698244,\n", + " 'first_name': 'Lindsay',\n", + " 'last_name': 'Barron',\n", + " 'dob': datetime.date(1966, 10, 21)},\n", + " {'phone': 18775822551,\n", + " 'first_name': 'Andrew',\n", + " 'last_name': 'Johnson',\n", + " 'dob': datetime.date(1949, 1, 14)},\n", + " {'phone': 18798635242,\n", + " 'first_name': 'Jonathan',\n", + " 'last_name': 'Cooper',\n", + " 'dob': datetime.date(1989, 3, 29)},\n", + " {'phone': 18810629022,\n", + " 'first_name': 'Nancy',\n", + " 'last_name': 'Wall',\n", + " 'dob': datetime.date(1995, 9, 8)},\n", + " {'phone': 18813385847,\n", + " 'first_name': 'Jesse',\n", + " 'last_name': 'Warren',\n", + " 'dob': datetime.date(1962, 11, 14)},\n", + " {'phone': 18827307797,\n", + " 'first_name': 'Brett',\n", + " 'last_name': 'Burnett',\n", + " 'dob': datetime.date(2006, 1, 16)},\n", + " {'phone': 18829431636,\n", + " 'first_name': 'Ashley',\n", + " 'last_name': 'Goodwin',\n", + " 'dob': datetime.date(2009, 1, 14)},\n", + " {'phone': 18859742304,\n", + " 'first_name': 'John',\n", + " 'last_name': 'Burns',\n", + " 'dob': datetime.date(1982, 6, 12)},\n", + " {'phone': 18871779458,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Bond',\n", + " 'dob': datetime.date(1921, 11, 6)},\n", + " {'phone': 18872589123,\n", + " 'first_name': 'Jorge',\n", + " 'last_name': 'Irwin',\n", + " 'dob': datetime.date(1955, 1, 17)},\n", + " {'phone': 18895944253,\n", + " 'first_name': 'Raymond',\n", + " 'last_name': 'White',\n", + " 'dob': datetime.date(1981, 8, 23)},\n", + " {'phone': 18898014089,\n", + " 'first_name': 'Jamie',\n", + " 'last_name': 'Oconnor',\n", + " 'dob': datetime.date(1998, 11, 3)},\n", + " {'phone': 18910147374,\n", + " 'first_name': 'Carla',\n", + " 'last_name': 'Morse',\n", + " 'dob': datetime.date(1910, 6, 22)},\n", + " {'phone': 18910991508,\n", + " 'first_name': 'Devin',\n", + " 'last_name': 'Garcia',\n", + " 'dob': datetime.date(1971, 10, 26)},\n", + " {'phone': 18924381730,\n", + " 'first_name': 'Lindsey',\n", + " 'last_name': 'Medina',\n", + " 'dob': datetime.date(1979, 9, 1)},\n", + " {'phone': 18928635635,\n", + " 'first_name': 'Amber',\n", + " 'last_name': 'Norris',\n", + " 'dob': datetime.date(1916, 10, 18)},\n", + " {'phone': 18937565048,\n", + " 'first_name': 'Jennifer',\n", + " 'last_name': 'Ochoa',\n", + " 'dob': datetime.date(2013, 6, 29)},\n", + " {'phone': 18943779406,\n", + " 'first_name': 'Blake',\n", + " 'last_name': 'Martin',\n", + " 'dob': datetime.date(2018, 8, 27)},\n", + " {'phone': 18954676131,\n", + " 'first_name': 'Stephen',\n", + " 'last_name': 'Schultz',\n", + " 'dob': datetime.date(1951, 12, 28)},\n", + " {'phone': 18965600097,\n", + " 'first_name': 'Cory',\n", + " 'last_name': 'Williams',\n", + " 'dob': datetime.date(2017, 12, 22)},\n", + " {'phone': 18973021782,\n", + " 'first_name': 'Deborah',\n", + " 'last_name': 'Mcdaniel',\n", + " 'dob': datetime.date(1926, 11, 25)},\n", + " {'phone': 18976576733,\n", + " 'first_name': 'Kevin',\n", + " 'last_name': 'Miller',\n", + " 'dob': datetime.date(1973, 9, 4)},\n", + " {'phone': 18978084445,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Hernandez',\n", + " 'dob': datetime.date(1933, 1, 2)},\n", + " {'phone': 18985036761,\n", + " 'first_name': 'Victoria',\n", + " 'last_name': 'Stokes',\n", + " 'dob': datetime.date(1987, 6, 25)},\n", + " {'phone': 18997514574,\n", + " 'first_name': 'Jill',\n", + " 'last_name': 'Holloway',\n", + " 'dob': datetime.date(2001, 9, 1)},\n", + " {'phone': 19014429804,\n", + " 'first_name': 'Christopher',\n", + " 'last_name': 'Cruz',\n", + " 'dob': datetime.date(1995, 12, 24)},\n", + " {'phone': 19014775638,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Nguyen',\n", + " 'dob': datetime.date(2020, 7, 5)},\n", + " {'phone': 19019618888,\n", + " 'first_name': 'Trevor',\n", + " 'last_name': 'Jones',\n", + " 'dob': datetime.date(1971, 10, 14)},\n", + " {'phone': 19020866208,\n", + " 'first_name': 'Kimberly',\n", + " 'last_name': 'Davis',\n", + " 'dob': datetime.date(1909, 5, 6)},\n", + " {'phone': 19024074010,\n", + " 'first_name': 'Maxwell',\n", + " 'last_name': 'Rodriguez',\n", + " 'dob': datetime.date(1910, 6, 5)},\n", + " {'phone': 19038013331,\n", + " 'first_name': 'Gavin',\n", + " 'last_name': 'Torres',\n", + " 'dob': datetime.date(1920, 11, 1)},\n", + " {'phone': 19042686870,\n", + " 'first_name': 'Todd',\n", + " 'last_name': 'Powell',\n", + " 'dob': datetime.date(1974, 10, 17)},\n", + " {'phone': 19044879721,\n", + " 'first_name': 'Ian',\n", + " 'last_name': 'Mckay',\n", + " 'dob': datetime.date(2009, 12, 14)},\n", + " {'phone': 19047553411,\n", + " 'first_name': 'Christopher',\n", + " 'last_name': 'Parker',\n", + " 'dob': datetime.date(1945, 9, 20)},\n", + " {'phone': 19056450033,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Burns',\n", + " 'dob': datetime.date(1944, 7, 23)},\n", + " {'phone': 19056830251,\n", + " 'first_name': 'Richard',\n", + " 'last_name': 'Webster',\n", + " 'dob': datetime.date(2009, 9, 23)},\n", + " {'phone': 19081163923,\n", + " 'first_name': 'Christopher',\n", + " 'last_name': 'Miller',\n", + " 'dob': datetime.date(1988, 8, 25)},\n", + " {'phone': 19081816729,\n", + " 'first_name': 'Craig',\n", + " 'last_name': 'Brown',\n", + " 'dob': datetime.date(1977, 1, 1)},\n", + " {'phone': 19085432266,\n", + " 'first_name': 'Ryan',\n", + " 'last_name': 'Reed',\n", + " 'dob': datetime.date(1960, 1, 27)},\n", + " {'phone': 19088161000,\n", + " 'first_name': 'Jeremiah',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1929, 11, 25)},\n", + " {'phone': 19088946163,\n", + " 'first_name': 'Dalton',\n", + " 'last_name': 'Henderson',\n", + " 'dob': datetime.date(2004, 3, 30)},\n", + " {'phone': 19089174356,\n", + " 'first_name': 'Casey',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1985, 7, 17)},\n", + " {'phone': 19094144841,\n", + " 'first_name': 'Olivia',\n", + " 'last_name': 'Simpson',\n", + " 'dob': datetime.date(1929, 5, 17)},\n", + " {'phone': 19095203435,\n", + " 'first_name': 'Jonathan',\n", + " 'last_name': 'Kerr',\n", + " 'dob': datetime.date(1961, 5, 8)},\n", + " {'phone': 19099334454,\n", + " 'first_name': 'Richard',\n", + " 'last_name': 'Lane',\n", + " 'dob': datetime.date(1940, 12, 27)},\n", + " {'phone': 19117793995,\n", + " 'first_name': 'Joseph',\n", + " 'last_name': 'Livingston',\n", + " 'dob': datetime.date(1938, 11, 16)},\n", + " {'phone': 19126711971,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Phillips',\n", + " 'dob': datetime.date(1918, 12, 3)},\n", + " ...]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account.fetch(as_dict=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'phone': 51444261372,\n", + " 'first_name': 'Alexis',\n", + " 'last_name': 'Abbott',\n", + " 'dob': datetime.date(1991, 7, 17)},\n", + " {'phone': 71380323330,\n", + " 'first_name': 'Emily',\n", + " 'last_name': 'Abbott',\n", + " 'dob': datetime.date(1913, 10, 23)},\n", + " {'phone': 53177609092,\n", + " 'first_name': 'Gregory',\n", + " 'last_name': 'Abbott',\n", + " 'dob': datetime.date(1930, 4, 21)},\n", + " {'phone': 66079291453,\n", + " 'first_name': 'Stephen',\n", + " 'last_name': 'Abbott',\n", + " 'dob': datetime.date(1916, 9, 7)},\n", + " {'phone': 27358861634,\n", + " 'first_name': 'Brandon',\n", + " 'last_name': 'Acevedo',\n", + " 'dob': datetime.date(1909, 1, 10)},\n", + " {'phone': 98247453638,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Acevedo',\n", + " 'dob': datetime.date(2016, 2, 8)},\n", + " {'phone': 46008885354,\n", + " 'first_name': 'Steven',\n", + " 'last_name': 'Acevedo',\n", + " 'dob': datetime.date(1984, 7, 23)},\n", + " {'phone': 35132860303,\n", + " 'first_name': 'Joanna',\n", + " 'last_name': 'Acosta',\n", + " 'dob': datetime.date(1941, 1, 4)},\n", + " {'phone': 11740091844,\n", + " 'first_name': 'Larry',\n", + " 'last_name': 'Acosta',\n", + " 'dob': datetime.date(1948, 3, 18)},\n", + " {'phone': 25514353782,\n", + " 'first_name': 'Lauren',\n", + " 'last_name': 'Acosta',\n", + " 'dob': datetime.date(1952, 3, 14)}]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account.fetch(as_dict=True, order_by=('last_name', 'first_name'), limit=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'phone': 53932761114,\n", + " 'first_name': 'Sara',\n", + " 'last_name': 'Shelton',\n", + " 'dob': datetime.date(2022, 8, 20)},\n", + " {'phone': 60517459688,\n", + " 'first_name': 'Shawn',\n", + " 'last_name': 'Cross',\n", + " 'dob': datetime.date(2022, 8, 10)},\n", + " {'phone': 10809328694,\n", + " 'first_name': 'Tammy',\n", + " 'last_name': 'Garcia',\n", + " 'dob': datetime.date(2022, 8, 7)},\n", + " {'phone': 66955470314,\n", + " 'first_name': 'Kenneth',\n", + " 'last_name': 'Sparks',\n", + " 'dob': datetime.date(2022, 8, 5)},\n", + " {'phone': 29576059858,\n", + " 'first_name': 'Zachary',\n", + " 'last_name': 'Ferguson',\n", + " 'dob': datetime.date(2022, 8, 2)},\n", + " {'phone': 88537153513,\n", + " 'first_name': 'Adam',\n", + " 'last_name': 'Thomas',\n", + " 'dob': datetime.date(2022, 7, 24)},\n", + " {'phone': 72212204485,\n", + " 'first_name': 'Daniel',\n", + " 'last_name': 'Hutchinson',\n", + " 'dob': datetime.date(2022, 7, 18)},\n", + " {'phone': 63094466207,\n", + " 'first_name': 'Lonnie',\n", + " 'last_name': 'Tyler',\n", + " 'dob': datetime.date(2022, 7, 15)},\n", + " {'phone': 57745712433,\n", + " 'first_name': 'Justin',\n", + " 'last_name': 'Miles',\n", + " 'dob': datetime.date(2022, 7, 10)},\n", + " {'phone': 69235537483,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Taylor',\n", + " 'dob': datetime.date(2022, 7, 10)}]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account.fetch(as_dict=True, order_by=('dob DESC'), limit=10, offset=100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Restriction (selecting rows)\n", + "In SQL, this is the `WHERE` clause. In DataJoint, we use operators `&` and `-`." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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10789671183MichaelRush1913-12-31
10807995767MichaelCollins1958-08-04
10934227204MichaelNielsen2011-01-02
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11470574946MichaelWilson2019-12-14
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12284064601MichaelDavis1917-09-07
12573843141MichaelSimmons1933-07-27
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Total: 243

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10789671183MichaelRush1913-12-31
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10934227204MichaelNielsen2011-01-02
11024050487MichaelRoberson1959-05-27
11470574946MichaelWilson2019-12-14
11830659746MichaelRodriguez1936-11-20
12284064601MichaelDavis1917-09-07
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...

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Total: 243

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26784298578AnneWeber2015-04-09
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Total: 4

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "26784298578 Anne Weber 2015-04-09 \n", + "56997124464 Anne Harris 2006-12-27 \n", + "71445368084 Anne Joseph 2004-01-31 \n", + "80176672017 Anne Garcia 2009-09-18 \n", + " (Total: 4)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & 'first_name=\"Anne\"' & 'dob > \"2001-01-01\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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dob

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11866584516RussellKennedy2023-07-11
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16670831184LindaClay2023-05-08
19363171118LoganBrooks2023-04-26
20316740126CindyBishop2023-09-20
22318026657ChristopherChavez2023-03-07
22969160297RachelHolmes2023-03-12
23952589751WilliamWebb2023-08-06
24814918574AaronButler2023-04-05
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27111673313SarahTrevino2023-04-16
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...

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Total: 68

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dob

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10008004398ThomasLi2009-05-22
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10025696662JamesSmall2016-12-29
10037061898DeborahFoley1929-02-06
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10068182298VictorClark1986-09-13
10070173668RonaldDuffy1969-03-23
10070547405LeahPratt1986-06-06
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\n", + "

...

\n", + "

Total: 9933

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17173339412MichaelMorse1978-09-07
21348118081MichaelDavila1979-02-06
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23202751730MichaelDennis1988-07-27
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...

\n", + "

Total: 46

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10229438507 Michael Coleman 1984-11-23 \n", + "15111017913 Michael Taylor 1996-02-26 \n", + "16036134391 Michael Ford 1978-09-16 \n", + "16624858863 Michael Miles 1991-11-14 \n", + "17173339412 Michael Morse 1978-09-07 \n", + "21348118081 Michael Davila 1979-02-06 \n", + "22741631510 Michael Williams 1986-01-09 \n", + "23202751730 Michael Dennis 1988-07-27 \n", + "24034846216 Michael Thompson 1991-01-20 \n", + "24551728814 Michael Farrell 1995-09-23 \n", + "25288932813 Michael Johnson 1984-10-10 \n", + "25485068077 Michael Barnes 1980-10-15 \n", + " ...\n", + " (Total: 46)" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "millennials & 'first_name=\"Michael\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "millennials = Account & 'dob BETWEEN \"1978-01-01\" AND \"1997-01-01\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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dob

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10219719840MatthewRoberts1979-11-21
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10433061621MarkWhitaker1994-10-13
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...

\n", + "

Total: 1562

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...

\n", + "

Total: 10001

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10008004398 Thomas Li 2009-05-22 \n", + "10010213238 Stacey Mitchell 2015-10-02 \n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10025696662 James Small 2016-12-29 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10068182298 Victor Clark 1986-09-13 \n", + "10070173668 Ronald Duffy 1969-03-23 \n", + "10070547405 Leah Pratt 1986-06-06 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + " ...\n", + " (Total: 10001)" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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10046839321
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...

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Total: 10001

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...

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Total: 10001

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10079669194RyanJohnson
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...

\n", + "

Total: 10001

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name \n", + "+------------+ +------------+ +-----------+\n", + "10008004398 Thomas Li \n", + "10010213238 Stacey Mitchell \n", + "10012512171 James Henderson \n", + "10017661220 Donald Anderson \n", + "10025696662 James Small \n", + "10037061898 Deborah Foley \n", + "10046294691 Gwendolyn Turner \n", + "10046839321 Marcia Martinez \n", + "10068182298 Victor Clark \n", + "10070173668 Ronald Duffy \n", + "10070547405 Leah Pratt \n", + "10079669194 Ryan Johnson \n", + " ...\n", + " (Total: 10001)" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account.proj(..., '-dob')" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "full_name = Account.proj(full_name='concat(last_name, \", \", first_name)')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "d = full_name.fetch(order_by=\"full_name\", format=\"frame\")" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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......
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...

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...

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Total: 10001

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\n", + "

...

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Total: 2225

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\n", + "

...

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Total: 7768

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10152397506JamesWade1963-04-15
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10313226393EricMann1925-11-01
\n", + "

...

\n", + "

Total: 2233

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10734349722KennethGraves1932-10-16
10782010443AmberWalters1933-02-12
10844022864GaryRogers1927-04-10
10862836412RandySanchez2018-09-21
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11279950296LanceLynch1999-03-15
11545066688NatalieJensen1908-03-17
\n", + "

...

\n", + "

Total: 660

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11883734808PhilipBlack2014-01-10
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12966892803KathrynNorman1913-02-27
15503931605RobertAdams1921-06-04
16065195696MathewJohnson1981-11-10
16266465922MaryMcpherson2003-11-23
17386440647CalebRoth1953-04-11
18690145667CalebParks2012-04-18
19361732502RodneyWise1934-08-11
21566103221MichaelGuerrero1971-07-15
23868945012TristanLopez1992-01-20
\n", + "

...

\n", + "

Total: 66

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10496786948 Andrew Carter 2001-05-02 \n", + "11883734808 Philip Black 2014-01-10 \n", + "12328381833 Louis Davis 1946-10-09 \n", + "12966892803 Kathryn Norman 1913-02-27 \n", + "15503931605 Robert Adams 1921-06-04 \n", + "16065195696 Mathew Johnson 1981-11-10 \n", + "16266465922 Mary Mcpherson 2003-11-23 \n", + "17386440647 Caleb Roth 1953-04-11 \n", + "18690145667 Caleb Parks 2012-04-18 \n", + "19361732502 Rodney Wise 1934-08-11 \n", + "21566103221 Michael Guerrero 1971-07-15 \n", + "23868945012 Tristan Lopez 1992-01-20 \n", + " ...\n", + " (Total: 66)" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Give me all accounts who have purchased both Addon 2 and 3\n", + "Account & (Purchase & 'addon_id=2') & (Purchase & 'addon_id=3')" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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10166849316BenjaminGomez1929-04-24
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10496786948AndrewCarter2001-05-02
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10734349722KennethGraves1932-10-16
10782010443AmberWalters1933-02-12
10789671183MichaelRush1913-12-31
\n", + "

...

\n", + "

Total: 1284

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10153686421 Aaron Bradley 1912-02-04 \n", + "10166849316 Benjamin Gomez 1929-04-24 \n", + "10291521740 Melissa Davis 1983-04-26 \n", + "10303625356 Rebecca Griffith 1975-01-10 \n", + "10451478023 Diane Davis 1919-12-31 \n", + "10496786948 Andrew Carter 2001-05-02 \n", + "10535081800 John Mcmahon 1929-01-30 \n", + "10661381021 Kenneth Shaffer 1946-09-07 \n", + "10722472340 Heidi Callahan 1932-01-05 \n", + "10734349722 Kenneth Graves 1932-10-16 \n", + "10782010443 Amber Walters 1933-02-12 \n", + "10789671183 Michael Rush 1913-12-31 \n", + " ...\n", + " (Total: 1284)" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Give me all accounts who have purchased Addon 2 or 3\n", + "Account & (Purchase & 'addon_id=2 OR addon_id=3')\n", + "Account & (Purchase & 'addon_id in (2, 3)')\n", + "Account & (Purchase & ['addon_id=3', 'addon_id=2'])" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me all accounts who have purchased Addon 2 but not 3" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10012512171JamesHenderson1920-10-09
10017661220DonaldAnderson1955-04-16
10037061898DeborahFoley1929-02-06
10046294691GwendolynTurner2020-12-19
10046839321MarciaMartinez1990-07-15
10079669194RyanJohnson1978-03-08
10099464091MatthewSmith1949-05-04
10102995813DavidYoung1923-12-29
10116323806ScottHernandez1930-11-01
10120727834RobertRodriguez1951-04-10
10151756488ChelseaCox1940-12-19
10153686421AaronBradley1912-02-04
\n", + "

...

\n", + "

Total: 7304

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + "10099464091 Matthew Smith 1949-05-04 \n", + "10102995813 David Young 1923-12-29 \n", + "10116323806 Scott Hernandez 1930-11-01 \n", + "10120727834 Robert Rodriguez 1951-04-10 \n", + "10151756488 Chelsea Cox 1940-12-19 \n", + "10153686421 Aaron Bradley 1912-02-04 \n", + " ...\n", + " (Total: 7304)" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Accounts with credit cards that have no purchases\n", + "Account & (CreditCard - Purchase)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10012512171JamesHenderson1920-10-09
10017661220DonaldAnderson1955-04-16
10037061898DeborahFoley1929-02-06
10046294691GwendolynTurner2020-12-19
10046839321MarciaMartinez1990-07-15
10079669194RyanJohnson1978-03-08
10099464091MatthewSmith1949-05-04
10102995813DavidYoung1923-12-29
10116323806ScottHernandez1930-11-01
10120727834RobertRodriguez1951-04-10
10151756488ChelseaCox1940-12-19
10169406225JenniferReid1954-09-30
\n", + "

...

\n", + "

Total: 5936

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + "10099464091 Matthew Smith 1949-05-04 \n", + "10102995813 David Young 1923-12-29 \n", + "10116323806 Scott Hernandez 1930-11-01 \n", + "10120727834 Robert Rodriguez 1951-04-10 \n", + "10151756488 Chelsea Cox 1940-12-19 \n", + "10169406225 Jennifer Reid 1954-09-30 \n", + " ...\n", + " (Total: 5936)" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Accounts with credit cards but no purchases\n", + "(Account & CreditCard) - Purchase" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DeMorgan's Laws" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "NOT (A OR B) == NOT A AND NOT B\n", + "NOT (A AND B) == NOT A OR NOT B\n", + "\n", + "NOT (A AND NOT B) == NOT A OR B" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/005-QueriesSQL.ipynb b/db-course/005-QueriesSQL.ipynb new file mode 100644 index 0000000..3ddc0fc --- /dev/null +++ b/db-course/005-QueriesSQL.ipynb @@ -0,0 +1,589 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Queries\n", + "\n", + "We will use the design produced in [004-Design](./004-Design.ipynb). Please execute that notebook first to define and populate the `app` schema." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Recall the design" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "\n", + "connection_string = \"mysql://root:simple@127.0.0.1\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%sql $connection_string" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Queries\n", + "\n", + "## Simple queries" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "use app" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "SHOW TABLES" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM account LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * FROM account ORDER BY last_name DESC, first_name DESC LIMIT 10 " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * FROM account ORDER BY dob LIMIT 10 OFFSET 100 " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Restriction (selecting rows)\n", + "In SQL restriction is done in the `WHERE` clause." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * \n", + " FROM account \n", + " WHERE phone = 69235537483 " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * \n", + " FROM account \n", + " WHERE first_name = \"Michael\"\n", + " ORDER BY dob\n", + " LIMIT 10 OFFSET 20 \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM account WHERE first_name=\"Anne\" AND dob > \"2001-01-01\" LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * \n", + "FROM account \n", + "WHERE DATEDIFF(now(), dob) < 300\n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * \n", + "FROM account \n", + "WHERE NOT (DATEDIFF(now(), dob) < 300) \n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * \n", + "FROM account \n", + "WHERE dob is NULL \n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * FROM account WHERE dob BETWEEN \"1978-01-01\" AND \"1997-01-01\" AND first_name=\"Michael\"\n", + "LIMIT 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Projection (selecting, calculating, and renaming columns)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * FROM account LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT DISTINCT last_name, first_name FROM account\n", + "ORDER BY last_name, first_name\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT phone, first_name, last_name FROM account\n", + "ORDER BY last_name, first_name\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT phone, concat(last_name, \", \", first_name) full_name FROM account\n", + "ORDER BY full_name\n", + "LIMIT 5\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT * FROM (\n", + " SELECT phone, first_name, last_name, floor(datediff(now(), dob)/365.25) age \n", + " FROM account) as q\n", + "WHERE age < 35\n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT *, phone id \n", + "FROM account\n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT phone from account where last_name>\"S\" LIMIT 5" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Restrictions by a query\n", + "In SQL, this is a query where the `WHERE` clause includes another `SELECT`` clause." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me all the accounts that have a credit card" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- accounts with a credit card\n", + "SELECT * \n", + "FROM account \n", + "WHERE phone IN (SELECT phone FROM credit_card)\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- accounts with no credit card\n", + "SELECT * \n", + "FROM account \n", + "WHERE phone NOT IN (SELECT phone FROM credit_card)\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "select * from purchase limit 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- All the accounts that purchased AddOn #2.\n", + "SELECT * FROM account \n", + "WHERE phone IN (SELECT phone FROM purchase WHERE addon_id=2)\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- All the accounts that purchased AddOn #2.\n", + "SELECT DISTINCT phone FROM purchase WHERE addon_id=2\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- Give me all accounts who have purchased both Addon 2 and 3\n", + "SELECT *\n", + "FROM account WHERE \n", + " phone in (SELECT phone FROM purchase WHERE addon_id=2) AND \n", + " phone in (SELECT phone FROM purchase WHERE addon_id=3)\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- Give me all accounts who have purchased both Addon 2 or 3\n", + "SELECT *\n", + "FROM account WHERE \n", + " phone in (SELECT phone FROM purchase WHERE addon_id=2) or \n", + " phone in (SELECT phone FROM purchase WHERE addon_id=3)\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- Give me all accounts who have purchased both Addon 2 or 3\n", + "SELECT *\n", + "FROM account WHERE \n", + " phone IN (SELECT phone FROM purchase WHERE addon_id in (2, 3))\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- Give me all accounts who have purchased both Addon 2 but not 3\n", + "SELECT *\n", + "FROM account WHERE \n", + " phone IN (SELECT phone FROM purchase WHERE addon_id = 2) AND \n", + " phone NOT IN (SELECT phone FROM purchase WHERE addon_id = 3)\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- Accounts with credit cards that have no purchases\n", + "SELECT * FROM account\n", + "WHERE phone in (SELECT phone from credit_card where card_number NOT IN (SELECT card_number FROM purchase))\n", + "LIMIT 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- Accounts with credit cards but no purchases\n", + "SELECT * FROM account\n", + "WHERE phone in (SELECT phone from credit_card)\n", + "AND phone NOT IN (SELECT phone FROM purchase)\n", + "LIMIT 5" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DeMorgan's Laws" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "NOT (A OR B) == NOT A AND NOT B\n", + "NOT (A AND B) == NOT A OR NOT B\n", + "\n", + "NOT (A AND NOT B) == NOT A OR B" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 1513263d452fb8ab0f6f6952eda9abf7cf96dc40 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Thu, 28 Sep 2023 11:04:08 +0000 Subject: [PATCH 09/33] expanded 004-Design --- db-course/004-Design.ipynb | 75 ++++++++++++++++++++------------------ 1 file changed, 40 insertions(+), 35 deletions(-) diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb index b3ffc0c..ed5972d 100644 --- a/db-course/004-Design.ipynb +++ b/db-course/004-Design.ipynb @@ -8,8 +8,8 @@ "\n", "You are designing a smart phone app\n", "\n", - "1. Users can subscribe for free, identified by their US phone number without extensions. Provide first and last name.\n", - "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVC.\n", + "1. Users can subscribe for a free account identified by their US phone number without extensions. Provide first and last name, date of birth (optional), and sex (optional).\n", + "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVV.\n", "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." ] @@ -27,15 +27,8 @@ "metadata": {}, "outputs": [], "source": [ - "import datajoint as dj" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + "import datajoint as dj\n", + "\n", "schema = dj.Schema('app')" ] }, @@ -52,7 +45,8 @@ " ---\n", " first_name : varchar(30)\n", " last_name : varchar(30)\n", - " dob : date\n", + " dob=null : date\n", + " sex='' : enum('F', 'M', '')\n", " \"\"\"\n" ] }, @@ -68,7 +62,7 @@ " card_number : bigint unsigned \n", " ---\n", " exp_date : date \n", - " cvc : smallint unsigned\n", + " cvv : smallint unsigned\n", " zipcode : int unsigned \n", " -> Account\n", " \"\"\"" @@ -163,8 +157,9 @@ "# insert one account\n", "Account.insert1(dict(\n", " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", - " first_name=fake.first_name(),\n", + " first_name=fake.first_name_male(),\n", " last_name=fake.last_name(),\n", + " sex=\"M\",\n", " dob=fake.date_of_birth()))" ] }, @@ -174,12 +169,27 @@ "metadata": {}, "outputs": [], "source": [ - "# insert many accounts\n", + "# insert many male accounts\n", "Account.insert(dict(\n", " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", - " first_name=fake.first_name(),\n", + " first_name=fake.first_name_male(),\n", " last_name=fake.last_name(),\n", - " dob=fake.date_of_birth()) for _ in range(10000))" + " sex='M',\n", + " dob=fake.date_of_birth()) for _ in range(5000))\n", + "\n", + "# insert many female accounts\n", + "Account.insert(dict(\n", + " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", + " first_name=fake.first_name_female(),\n", + " last_name=fake.last_name(),\n", + " sex='F',\n", + " dob=fake.date_of_birth()) for _ in range(5000))\n", + "\n", + "# insert some accounts with no sex and no birthdate\n", + "Account.insert(dict(\n", + " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", + " first_name=fake.first_name(),\n", + " last_name=fake.last_name()) for _ in range(500))" ] }, { @@ -207,12 +217,12 @@ "metadata": {}, "outputs": [], "source": [ - "# insert one credit cards\n", + "# insert one credit card\n", "CreditCard.insert1(\n", " dict(random.choice(keys), \n", " zipcode=random.randint(10000,99999), \n", " card_number=int(fake.credit_card_number()),\n", - " cvc=random.randint(1, 999), \n", + " cvv=random.randint(1, 999), \n", " exp_date=fake.future_date()))" ] }, @@ -227,7 +237,7 @@ " dict(random.choice(keys), \n", " zipcode=random.randint(10000,99999), \n", " card_number=int(fake.credit_card_number()),\n", - " cvc=random.randint(1, 999), \n", + " cvv=random.randint(1, 999), \n", " exp_date=fake.future_date()) for _ in range(15000))" ] }, @@ -237,13 +247,15 @@ "metadata": {}, "outputs": [], "source": [ - "# insert random subsamples. Run this several times to populate more\n", - "purchases = (Account * CreditCard * AddOn - Purchase).fetch(\"KEY\")\n", - "for _ in tqdm(range(100)):\n", - " try:\n", - " Purchase.insert(random.sample(purchases, 30))\n", - " except dj.errors.DuplicateError:\n", - " continue\n" + "# get all possible valid purchases, eliminate duplicate purchases that are under different cards\n", + "purchases = (Account * CreditCard * AddOn - Purchase.proj()).fetch(\"KEY\", order_by=('phone', 'addon_id'))\n", + "unique_purchases = [purchases.pop()]\n", + "for purchase in purchases:\n", + " if (purchase['phone'], purchase['addon_id']) != (unique_purchases[-1]['phone'], unique_purchases[-1]['addon_id']):\n", + " unique_purchases.append(purchase)\n", + "\n", + "# insert a random subset \n", + "Purchase.insert(random.sample(unique_purchases, 5000))" ] }, { @@ -252,15 +264,8 @@ "metadata": {}, "outputs": [], "source": [ - "Purchase()" + "schema.drop() # optionally drop the schema to clear before the next run" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From d72173690c2f1b326e521884913116c94bd2d785 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Sun, 1 Oct 2023 19:26:49 -0500 Subject: [PATCH 10/33] add notebooks from last year's course --- db-course/005-Queries.ipynb | 1142 +++++ db-course/Default.ipynb | 912 ++++ db-course/DesignPatterns.ipynb | 7892 +++++++++++++++++++++++++++++++ db-course/EntityIntegrity.ipynb | 718 +++ db-course/GroupBy.ipynb | 1926 ++++++++ db-course/Groups.ipynb | 1221 +++++ db-course/Hotel.ipynb | 2340 +++++++++ db-course/Indexes.ipynb | 1183 +++++ db-course/PersonAccount.ipynb | 1656 +++++++ db-course/QuizSystem.ipynb | 914 ++++ db-course/UUID.ipynb | 845 ++++ 11 files changed, 20749 insertions(+) create mode 100644 db-course/005-Queries.ipynb create mode 100644 db-course/Default.ipynb create mode 100644 db-course/DesignPatterns.ipynb create mode 100644 db-course/EntityIntegrity.ipynb create mode 100644 db-course/GroupBy.ipynb create mode 100644 db-course/Groups.ipynb create mode 100644 db-course/Hotel.ipynb create mode 100644 db-course/Indexes.ipynb create mode 100644 db-course/PersonAccount.ipynb create mode 100644 db-course/QuizSystem.ipynb create mode 100644 db-course/UUID.ipynb diff --git a/db-course/005-Queries.ipynb b/db-course/005-Queries.ipynb new file mode 100644 index 0000000..963354f --- /dev/null +++ b/db-course/005-Queries.ipynb @@ -0,0 +1,1142 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Design\n", + "\n", + "## Problem 4. Online App\n", + "\n", + "You are designing a smart phone app\n", + "\n", + "1. Users can subscribe for free, identified by their US phone number without extensions. Provide first and last name.\n", + "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVC.\n", + "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", + "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-09-19 23:12:49,751][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-09-19 23:12:49,831][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "schema = dj.Schema('app')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Account(dj.Manual):\n", + " definition = \"\"\"\n", + " phone : bigint unsigned \n", + " ---\n", + " first_name : varchar(30)\n", + " last_name : varchar(30)\n", + " \"\"\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class CreditCard(dj.Manual):\n", + " definition = \"\"\"\n", + " card_number : bigint unsigned \n", + " ---\n", + " exp_date : date \n", + " cvc : smallint unsigned\n", + " zipcode : int unsigned \n", + " -> Account\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from faker import Faker\n", + "fake = Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class AddOn(dj.Lookup):\n", + " definition = \"\"\"\n", + " addon_id : int\n", + " ---\n", + " addon_name : varchar(30)\n", + " price : decimal(5, 2) unsigned\n", + " \"\"\"\n", + "\n", + " contents = ((1, \"Track & Field\", 13.99), (2, \"Marathon\", 26.2), (3, \"Sprint\", 100.00))" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

addon_id

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\n", + "

addon_name

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\n", + "

price

\n", + " \n", + "
1Track & Field13.99
2Marathon26.20
3Sprint100.00
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*addon_id addon_name price \n", + "+----------+ +------------+ +--------+\n", + "1 Track & Field 13.99 \n", + "2 Marathon 26.20 \n", + "3 Sprint 100.00 \n", + " (Total: 3)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "AddOn()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Purchase(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Account\n", + " -> AddOn\n", + " ---\n", + " -> CreditCard\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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card_number

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exp_date

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\n", + "

cvc

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zipcode

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phone

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302327288629992023-10-09709283214709094729
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*card_number exp_date cvc zipcode phone \n", + "+------------+ +------------+ +-----+ +---------+ +------------+\n", + "30232728862999 2023-10-09 709 2832 14709094729 \n", + " (Total: 1)" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CreditCard()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
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phone

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\n", + "

first_name

\n", + " \n", + "
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last_name

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\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name \n", + "+-------+ +------------+ +-----------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "Account.insert1(dict(\n", + " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", + " first_name=fake.first_name(),\n", + " last_name=fake.last_name()))" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "Account.insert(dict(\n", + " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", + " first_name=fake.first_name(),\n", + " last_name=fake.last_name()) for _ in range(10000))" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "65536" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2**16" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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phone

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first_name

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last_name

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10004941735AllisonUnderwood
10025366473ChristopherPetty
10044826023AlanReynolds
10050836680AndrewMorrison
10051646762KatherineDelgado
10057979176DebbieZimmerman
10067431110DrewReed
10070524656JohnathanRodriguez
10072025793BrentMiller
10077808909JenniferYoung
10095411023AshleyJones
10096339067StephanieMullins
\n", + "

...

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Total: 10003

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name \n", + "+------------+ +------------+ +-----------+\n", + "10004941735 Allison Underwood \n", + "10025366473 Christopher Petty \n", + "10044826023 Alan Reynolds \n", + "10050836680 Andrew Morrison \n", + "10051646762 Katherine Delgado \n", + "10057979176 Debbie Zimmerman \n", + "10067431110 Drew Reed \n", + "10070524656 Johnathan Rodriguez \n", + "10072025793 Brent Miller \n", + "10077808909 Jennifer Young \n", + "10095411023 Ashley Jones \n", + "10096339067 Stephanie Mullins \n", + " ...\n", + " (Total: 10003)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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card_number

\n", + " \n", + "
\n", + "

exp_date

\n", + " \n", + "
\n", + "

cvc

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\n", + "

zipcode

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\n", + "

phone

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\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*card_number exp_date cvc zipcode phone \n", + "+------------+ +----------+ +-----+ +---------+ +-------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CreditCard()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "keys = Account.fetch(\"KEY\")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fake.credit_card_number" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "CreditCard.insert1(\n", + " dict(random.choice(keys), \n", + " zipcode=random.randint(10000,99999), \n", + " card_number=int(fake.credit_card_number()),\n", + " cvc=random.randint(1, 999), \n", + " exp_date=fake.future_date()))" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "CreditCard.insert(\n", + " dict(random.choice(keys), \n", + " zipcode=random.randint(10000,99999), \n", + " card_number=int(fake.credit_card_number()),\n", + " cvc=random.randint(1, 999), \n", + " exp_date=fake.future_date()) for _ in range(15000))" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "purchase_key = ((Account & CreditCard) * AddOn).fetch('KEY', limit=1)[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "Purchase.insert1(dict(purchase_key, **(CreditCard & purchase_key).fetch('KEY')[0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

addon_id

\n", + " \n", + "
\n", + "

card_number

\n", + " \n", + "
100253664733376154262563571
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*phone *addon_id card_number \n", + "+------------+ +----------+ +------------+\n", + "10025366473 3 37615426256357\n", + " (Total: 1)" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Purchase()" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'SELECT `phone`,`addon_id`,`card_number`,`addon_name`,`price`,`first_name`,`last_name` FROM `app`.`purchase` NATURAL JOIN `app`.`#add_on` NATURAL JOIN `app`.`account`'" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Purchase * AddOn * Account).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/Default.ipynb b/db-course/Default.ipynb new file mode 100644 index 0000000..b9f4279 --- /dev/null +++ b/db-course/Default.ipynb @@ -0,0 +1,912 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "414f0fb5", + "metadata": {}, + "source": [ + "# Missing and default values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "28e327d8", + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj\n", + "import random\n", + "import faker\n", + "fake = faker.Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0f453506", + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.schema('dimitri_default')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "64f6506d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'job': 'Engineer, communications',\n", + " 'company': 'Rodgers Inc',\n", + " 'ssn': '556-83-1710',\n", + " 'residence': '2975 Contreras Green\\nSouth Karen, ID 49364',\n", + " 'current_location': (Decimal('-42.4585165'), Decimal('102.313448')),\n", + " 'blood_group': 'AB+',\n", + " 'website': ['http://www.rogers.com/', 'https://delgado.com/'],\n", + " 'username': 'elizabeth34',\n", + " 'name': 'Angela Garcia',\n", + " 'sex': 'F',\n", + " 'address': '5607 Tapia Cliff\\nCrystalside, NY 36851',\n", + " 'mail': 'gboyd@gmail.com',\n", + " 'birthdate': datetime.date(1946, 11, 28)}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fake.profile()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "1f66841e", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int\n", + " ---\n", + " blood_group = \"unknown\" : enum('A+', 'A-', 'AB+', 'AB-', 'B+', 'B-', 'O+', 'O-', \"unknown\")\n", + " name : varchar(60)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "f54ddeac", + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert1(dict(person_id=3, **fake.profile()), ignore_extra_fields=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "2f610d0c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

person_id

\n", + " \n", + "
\n", + "

blood_group

\n", + " \n", + "
\n", + "

name

\n", + " \n", + "
1A-Randy Arnold
2O+Scott Montgomery
3AB-Ronald Reyes
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*person_id blood_group name \n", + "+-----------+ +------------+ +------------+\n", + "1 A- Randy Arnold \n", + "2 O+ Scott Montgome\n", + "3 AB- Ronald Reyes \n", + " (Total: 3)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "4fb4eb3f", + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert1(dict(person_id=5, name=\"heywood\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "4e8b7522", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

\n", + " \n", + "
\n", + "

blood_group

\n", + " \n", + "
\n", + "

name

\n", + " \n", + "
1A-Randy Arnold
2O+Scott Montgomery
3AB-Ronald Reyes
5unknownheywood
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*person_id blood_group name \n", + "+-----------+ +------------+ +------------+\n", + "1 A- Randy Arnold \n", + "2 O+ Scott Montgome\n", + "3 AB- Ronald Reyes \n", + "5 unknown heywood \n", + " (Total: 4)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "9e86ec83", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CREATE TABLE `person` (\n", + " `person_id` int(11) NOT NULL,\n", + " `blood_group` enum('A+','A-','AB+','AB-','B+','B-','O+','O-','unknown') NOT NULL DEFAULT 'unknown',\n", + " `name` varchar(60) NOT NULL,\n", + " PRIMARY KEY (`person_id`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1\n" + ] + } + ], + "source": [ + "print(dj.conn().query(\"SHOW CREATE TABLE dimitri_default.person\").fetchone()[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "83844f42", + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql " + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "47686e7a", + "metadata": {}, + "outputs": [], + "source": [ + "conn = pymysql.connect(user='dimitri', passwd=dj.config['database.password'], host='db.ust-db.link')" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "6fcb89af", + "metadata": {}, + "outputs": [], + "source": [ + "cursor = conn.cursor()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "baa9ecee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\"\"\"\n", + "CREATE TABLE dimitri_default.person2 (\n", + " person_id int NOT NULL,\n", + " blood_group enum('A+','A-','AB+','AB-','B+','B-','O+','O-', 'unknown') \n", + " NOT NULL DEFAULT 'unknown',\n", + " PRIMARY KEY(person_id)\n", + ")\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "3ac55ecb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\"\"\"\n", + "INSERT dimitri_default.person2 (person_id, blood_group) VALUES (1, DEFAULT)\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "e2ac8cd0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor.execute(\"\"\"\n", + "INSERT dimitri_default.person2 (person_id, blood_group) VALUES (2, \"O+\")\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "7b1c8980", + "metadata": {}, + "outputs": [ + { + "ename": "IntegrityError", + "evalue": "(1048, \"Column 'blood_group' cannot be null\")", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIntegrityError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m cursor.execute(\"\"\"\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mINSERT\u001b[0m \u001b[0mdimitri_default\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mperson2\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mperson_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mblood_group\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0mVALUES\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNULL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \"\"\")\n", + "\u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, query, args)\u001b[0m\n\u001b[1;32m 146\u001b[0m \u001b[0mquery\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmogrify\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 148\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_query\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 149\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_executed\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mquery\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 150\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py\u001b[0m in \u001b[0;36m_query\u001b[0;34m(self, q)\u001b[0m\n\u001b[1;32m 308\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_last_executed\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mq\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 309\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_clear_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 310\u001b[0;31m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 311\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_get_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 312\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrowcount\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py\u001b[0m in \u001b[0;36mquery\u001b[0;34m(self, sql, unbuffered)\u001b[0m\n\u001b[1;32m 546\u001b[0m \u001b[0msql\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msql\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencoding\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"surrogateescape\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 547\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_execute_command\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mCOMMAND\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOM_QUERY\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"errno =\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrno\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 221\u001b[0;31m \u001b[0merr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_mysql_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 222\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 223\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdump\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/err.py\u001b[0m in \u001b[0;36mraise_mysql_exception\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0merrorclass\u001b[0m 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"execution_count": 48, + "id": "bfe26d70", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

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blood_group

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\n", + "

name

\n", + " \n", + "
1A-Randy Arnold
2O+Scott Montgomery
3AB-Ronald Reyes
5unknownheywood
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*person_id blood_group name \n", + "+-----------+ +------------+ +------------+\n", + "1 A- Randy Arnold \n", + "2 O+ Scott Montgome\n", + "3 AB- Ronald Reyes \n", + "5 unknown heywood \n", + " (Total: 4)" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "0b146b05", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Department(dj.Lookup):\n", + " definition = \"\"\"\n", + " dept_code : char(8)\n", + " ---\n", + " dept_name : varchar(30)\n", + " \"\"\"\n", + " \n", + " contents = [\n", + " ('BIOL', \"Biology\"),\n", + " ('MATH', \"Mathematics\") \n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "f2ad3646", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " -> [nullable] Department\n", + " \"\"\"\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "9effcbeb", + "metadata": {}, + "source": [ + "```sql\n", + " CREATE TABLE student (\n", + " person_id int NOT NULL,\n", + " dept_code char(8),\n", + " PRIMARY KEY (person_id),\n", + " FOREIGN KEY (person_id) REFERENCES person(person_id),\n", + " FOREIGN KEY (dept_code) REFERENCES department(dept_code) \n", + " )\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "789fa913", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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1A-Randy Arnold
2O+Scott Montgomery
3AB-Ronald Reyes
5unknownheywood
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*person_id blood_group name \n", + "+-----------+ +------------+ +------------+\n", + "1 A- Randy Arnold \n", + "2 O+ Scott Montgome\n", + "3 AB- Ronald Reyes \n", + "5 unknown heywood \n", + " (Total: 4)" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "7847357a", + "metadata": {}, + "outputs": [], + "source": [ + "Student.insert1((1, \"BIOL\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "bbfd2a3b", + "metadata": {}, + "outputs": [], + "source": [ + "Student.insert1((2, \"MATH\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "140b691b", + "metadata": {}, + "outputs": [], + "source": [ + "Student.insert1((3, None))" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "3e2cf8bb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

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dept_code

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3None
1BIOL
2MATH
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*person_id dept_code \n", + "+-----------+ +-----------+\n", + "3 None \n", + "1 BIOL \n", + "2 MATH \n", + " (Total: 3)" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Student()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1495b9e9", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7dc6bca4", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Major(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Students\n", + " ---\n", + " -> Department\n", + " \"\"\"" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/db-course/DesignPatterns.ipynb b/db-course/DesignPatterns.ipynb new file mode 100644 index 0000000..86c8590 --- /dev/null +++ b/db-course/DesignPatterns.ipynb @@ -0,0 +1,7892 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "with open('cred.json') as f:\n", + " creds = json.load(f)\n", + "\n", + "connection_string = \"mysql://{user}:{password}@{host}\".format(**creds)\n", + "\n", + "import pymysql \n", + "pymysql.install_as_MySQLdb()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql $connection_string" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Transactions\n", + "\n", + "- A = Atomic\n", + "- C = Consistent\n", + "- I = Isolated\n", + "- D = Durable" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from faker import Faker" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "fake = Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2022-11-08 11:21:52,567][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", + "[2022-11-08 11:21:53,609][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proceed to delete entire schema `dimitri_bank`? [yes, No]: yes\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "schema = dj.Schema('dimitri_bank')\n", + "schema.drop()\n", + "schema = dj.Schema('dimitri_bank')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Account(dj.Manual):\n", + " definition = \"\"\"\n", + " account_number : int\n", + " ---\n", + " customer_name : varchar(60) \n", + " balance : decimal(9, 2)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "Account.insert(\n", + " dict(\n", + " account_number=fake.random.randint(10_000_000, 99_999_999),\n", + " customer_name=fake.name(),\n", + " balance=fake.random.randint(0, 100_000_00)/100)\n", + " for i in range(100))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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account_number

\n", + " \n", + "
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customer_name

\n", + " \n", + "
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balance

\n", + " \n", + "
12050569Shannon Santos6679.10
12585078Elizabeth Sherman81401.22
12922010Gary Cummings82458.58
14429509Lisa Garcia62684.81
16865880Christy Jones36643.26
16891629Alfred Potter25586.46
17183102Chad Nguyen Jr.8421.74
18025005Andrew Wilson50134.35
18104044Jody Collins43370.19
18369903Ronald Stokes72475.77
20536886Elizabeth Murphy26302.92
21122881John Mcdonald66577.76
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...

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Total: 100

\n", + " " + ], + "text/plain": [ + "*account_numbe customer_name balance \n", + "+------------+ +------------+ +----------+\n", + "12050569 Shannon Santos 6679.10 \n", + "12585078 Elizabeth Sher 81401.22 \n", + "12922010 Gary Cummings 82458.58 \n", + "14429509 Lisa Garcia 62684.81 \n", + "16865880 Christy Jones 36643.26 \n", + "16891629 Alfred Potter 25586.46 \n", + "17183102 Chad Nguyen Jr 8421.74 \n", + "18025005 Andrew Wilson 50134.35 \n", + "18104044 Jody Collins 43370.19 \n", + "18369903 Ronald Stokes 72475.77 \n", + "20536886 Elizabeth Murp 26302.92 \n", + "21122881 John Mcdonald 66577.76 \n", + " ...\n", + " (Total: 100)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "keys =Account.fetch('KEY')\n", + "account1 = fake.random.choice(keys)\n", + "account2 = fake.random.choice(keys)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "({'account_number': 71167941}, {'account_number': 45255856})" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "account1, account2" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "def transfer(account1, account2, amount):\n", + " \n", + " with Account.connection.transaction:\n", + "\n", + " current_balance = (Account & account1).fetch1('balance')\n", + " if current_balance < amount:\n", + " raise RuntimeError('Insufficient funds')\n", + "\n", + " Account.update1(dict(account1, balance=float(current_balance) - amount))\n", + "\n", + " b = (Account & account2).fetch1('balance')\n", + " assert False\n", + " \n", + " Account.update1(dict(account2, balance= float(b) + amount))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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account_number

\n", + " \n", + "
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45255856Chad Atkins3900.08
71167941Cody Morgan21836.97
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Total: 2

\n", + " " + ], + "text/plain": [ + "*account_numbe customer_name balance \n", + "+------------+ +------------+ +----------+\n", + "45255856 Chad Atkins 3900.08 \n", + "71167941 Cody Morgan 21836.97 \n", + " (Total: 2)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & [account1, account2]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "ename": "AssertionError", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [13]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtransfer\u001b[49m\u001b[43m(\u001b[49m\u001b[43maccount1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccount2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m100.00\u001b[39;49m\u001b[43m)\u001b[49m\n", + "Input \u001b[0;32mIn [11]\u001b[0m, in \u001b[0;36mtransfer\u001b[0;34m(account1, account2, amount)\u001b[0m\n\u001b[1;32m 9\u001b[0m Account\u001b[38;5;241m.\u001b[39mupdate1(\u001b[38;5;28mdict\u001b[39m(account1, balance\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mfloat\u001b[39m(current_balance) \u001b[38;5;241m-\u001b[39m amount))\n\u001b[1;32m 11\u001b[0m b \u001b[38;5;241m=\u001b[39m (Account \u001b[38;5;241m&\u001b[39m account2)\u001b[38;5;241m.\u001b[39mfetch1(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbalance\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 12\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 14\u001b[0m Account\u001b[38;5;241m.\u001b[39mupdate1(\u001b[38;5;28mdict\u001b[39m(account2, balance\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mfloat\u001b[39m(b) \u001b[38;5;241m+\u001b[39m amount))\n", + "\u001b[0;31mAssertionError\u001b[0m: " + ] + } + ], + "source": [ + "transfer(account1, account2, 100.00)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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TableCreate Table
accountCREATE TABLE `account` (
`account_number` int(11) NOT NULL,
`customer_name` varchar(60) NOT NULL,
`balance` decimal(9,2) NOT NULL,
PRIMARY KEY (`account_number`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1
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account_numbercustomer_namebalance
12050569Shannon Santos6679.10
12585078Elizabeth Sherman81401.22
12922010Gary Cummings82458.58
14429509Lisa Garcia62684.81
16865880Christy Jones36643.26
16891629Alfred Potter25586.46
17183102Chad Nguyen Jr.8421.74
18025005Andrew Wilson50134.35
18104044Jody Collins43370.19
18369903Ronald Stokes72475.77
20536886Elizabeth Murphy26302.92
21122881John Mcdonald66577.76
22346493Angela Cook8726.90
23580748Phillip Phillips87117.86
24304691Gary Davis61267.87
29585828Sheila Mack3143.64
31867228Matthew Jensen Jr.10613.30
32398369Kathryn Bush86954.62
32491608Christina Peterson96449.55
32606812Shannon Melton56821.76
32800520Desiree White5503.59
35601316Brittney Wright DDS85239.41
36448533Charles Rivers28255.00
37607221Joseph Rojas67438.57
38275461Jessica Cervantes12397.28
38310940Bryan Mcmahon31183.65
38476377Kathleen Horton24121.70
41136819Mario Anderson69689.05
41353087Amber Wallace55862.85
42185083Gina Murillo47656.73
42576215Mary Barnes82977.61
43023148Benjamin Richardson19640.96
43256866Dawn Price27384.32
43704100Sara Weaver64056.63
43712744Cynthia Willis71119.29
44244863Joseph Perez34877.09
44436274Amber Fitzpatrick58606.29
45255856Chad Atkins3900.08
45277679Aaron Barnes42783.60
45812721Tim Carter4561.58
46013960Zachary Sherman97940.03
49643932Scott Davis46175.00
50312738Victoria Andrews72410.91
50354017Melissa Hobbs12830.85
51674129Laura Huber15506.18
52662843Donna Smith96704.53
52926354Kerri Elliott94942.99
54714079Michael Jones47161.03
55439872Annette Cuevas64012.92
56541462Haley Wilson8815.40
57064339Theresa Snyder20683.21
57935558Daniel Armstrong18834.38
58000819Jamie Dixon34711.82
58545212Linda Jones2458.01
59841226Jennifer Williams79297.52
61068175Bryan Green73076.54
61825741Jessica Robinson90067.20
62723410Christine Turner32029.44
63634081Daniel Contreras87923.71
64538767Melissa Turner59850.53
65644872James Avila68329.73
69386626Kelsey Cervantes79170.79
69610798Brandi Moore11125.43
70167668Brian Hoover85543.93
71167941Cody Morgan21836.97
72203243Carrie Thomas76766.21
72987179Dana Baker96049.74
73492317Adrienne Stone45186.78
74290373William Douglas65616.71
74704243Barbara Cuevas10731.71
75147177Jocelyn Gilbert23482.65
75189013Lori Jones60922.02
75353895Paul Benson26102.18
75360790Blake Cooper16122.13
75523120Paul Gibson81543.97
75863409James Hines75250.71
76936237Chad Nicholson98420.50
77149605Jonathan Bautista95316.22
77401497Elizabeth Andersen88391.06
79438170Ms. Rebecca Hall60703.58
79475809Bryan Brown Jr.59410.50
79504929Megan Carlson48345.86
80342292Rodney Strickland11927.42
80728264Reginald Roberts78922.39
82425155David Clark17295.15
84847035Timothy Williams35919.15
85232444Ashley Knight58513.22
86646935Judith Rodriguez82176.38
87356185Laura Castillo81767.62
87591115Eric Fields49400.63
89363591Sara Griffith27862.81
90446123James Gibson58628.37
91973536Karen Hunt91278.72
94335018Eric Mcgee97024.05
95440048Angela Roman75554.23
97181338Joseph Matthews23464.91
97328507Julie Baker86320.40
98197568Mr. Dylan Hernandez67592.91
98230343Nicholas Jacobson44952.48
99345844Caleb Davis40633.29
" + ], + "text/plain": [ + "[(12050569, 'Shannon Santos', Decimal('6679.10')),\n", + " (12585078, 'Elizabeth Sherman', Decimal('81401.22')),\n", + " (12922010, 'Gary Cummings', Decimal('82458.58')),\n", + " (14429509, 'Lisa Garcia', Decimal('62684.81')),\n", + " (16865880, 'Christy Jones', Decimal('36643.26')),\n", + " (16891629, 'Alfred Potter', Decimal('25586.46')),\n", + " (17183102, 'Chad Nguyen Jr.', Decimal('8421.74')),\n", + " (18025005, 'Andrew Wilson', Decimal('50134.35')),\n", + " (18104044, 'Jody Collins', Decimal('43370.19')),\n", + " (18369903, 'Ronald Stokes', Decimal('72475.77')),\n", + " (20536886, 'Elizabeth Murphy', Decimal('26302.92')),\n", + " (21122881, 'John Mcdonald', Decimal('66577.76')),\n", + " (22346493, 'Angela Cook', Decimal('8726.90')),\n", + " (23580748, 'Phillip Phillips', Decimal('87117.86')),\n", + " (24304691, 'Gary Davis', Decimal('61267.87')),\n", + " (29585828, 'Sheila Mack', Decimal('3143.64')),\n", + " (31867228, 'Matthew Jensen Jr.', Decimal('10613.30')),\n", + " (32398369, 'Kathryn Bush', Decimal('86954.62')),\n", + " (32491608, 'Christina Peterson', Decimal('96449.55')),\n", + " (32606812, 'Shannon Melton', Decimal('56821.76')),\n", + " (32800520, 'Desiree White', Decimal('5503.59')),\n", + " (35601316, 'Brittney Wright DDS', Decimal('85239.41')),\n", + " (36448533, 'Charles Rivers', Decimal('28255.00')),\n", + " (37607221, 'Joseph Rojas', Decimal('67438.57')),\n", + " (38275461, 'Jessica Cervantes', Decimal('12397.28')),\n", + " (38310940, 'Bryan Mcmahon', Decimal('31183.65')),\n", + " (38476377, 'Kathleen Horton', Decimal('24121.70')),\n", + " (41136819, 'Mario Anderson', Decimal('69689.05')),\n", + " (41353087, 'Amber Wallace', Decimal('55862.85')),\n", + " (42185083, 'Gina Murillo', Decimal('47656.73')),\n", + " (42576215, 'Mary Barnes', Decimal('82977.61')),\n", + " (43023148, 'Benjamin Richardson', Decimal('19640.96')),\n", + " (43256866, 'Dawn Price', Decimal('27384.32')),\n", + " (43704100, 'Sara Weaver', Decimal('64056.63')),\n", + " (43712744, 'Cynthia Willis', Decimal('71119.29')),\n", + " (44244863, 'Joseph Perez', Decimal('34877.09')),\n", + " (44436274, 'Amber Fitzpatrick', Decimal('58606.29')),\n", + " (45255856, 'Chad Atkins', Decimal('3900.08')),\n", + " (45277679, 'Aaron Barnes', Decimal('42783.60')),\n", + " (45812721, 'Tim Carter', Decimal('4561.58')),\n", + " (46013960, 'Zachary Sherman', Decimal('97940.03')),\n", + " (49643932, 'Scott Davis', Decimal('46175.00')),\n", + " (50312738, 'Victoria Andrews', Decimal('72410.91')),\n", + " (50354017, 'Melissa Hobbs', Decimal('12830.85')),\n", + " (51674129, 'Laura Huber', Decimal('15506.18')),\n", + " (52662843, 'Donna Smith', Decimal('96704.53')),\n", + " (52926354, 'Kerri Elliott', Decimal('94942.99')),\n", + " (54714079, 'Michael Jones', Decimal('47161.03')),\n", + " (55439872, 'Annette Cuevas', Decimal('64012.92')),\n", + " (56541462, 'Haley Wilson', Decimal('8815.40')),\n", + " (57064339, 'Theresa Snyder', Decimal('20683.21')),\n", + " (57935558, 'Daniel Armstrong', Decimal('18834.38')),\n", + " (58000819, 'Jamie Dixon', Decimal('34711.82')),\n", + " (58545212, 'Linda Jones', Decimal('2458.01')),\n", + " (59841226, 'Jennifer Williams', Decimal('79297.52')),\n", + " (61068175, 'Bryan Green', Decimal('73076.54')),\n", + " (61825741, 'Jessica Robinson', Decimal('90067.20')),\n", + " (62723410, 'Christine Turner', Decimal('32029.44')),\n", + " (63634081, 'Daniel Contreras', Decimal('87923.71')),\n", + " (64538767, 'Melissa Turner', Decimal('59850.53')),\n", + " (65644872, 'James Avila', Decimal('68329.73')),\n", + " (69386626, 'Kelsey Cervantes', Decimal('79170.79')),\n", + " (69610798, 'Brandi Moore', Decimal('11125.43')),\n", + " (70167668, 'Brian Hoover', Decimal('85543.93')),\n", + " (71167941, 'Cody Morgan', Decimal('21836.97')),\n", + " (72203243, 'Carrie Thomas', Decimal('76766.21')),\n", + " (72987179, 'Dana Baker', Decimal('96049.74')),\n", + " (73492317, 'Adrienne Stone', Decimal('45186.78')),\n", + " (74290373, 'William Douglas', Decimal('65616.71')),\n", + " (74704243, 'Barbara Cuevas', Decimal('10731.71')),\n", + " (75147177, 'Jocelyn Gilbert', Decimal('23482.65')),\n", + " (75189013, 'Lori Jones', Decimal('60922.02')),\n", + " (75353895, 'Paul Benson', Decimal('26102.18')),\n", + " (75360790, 'Blake Cooper', Decimal('16122.13')),\n", + " (75523120, 'Paul Gibson', Decimal('81543.97')),\n", + " (75863409, 'James Hines', Decimal('75250.71')),\n", + " (76936237, 'Chad Nicholson', Decimal('98420.50')),\n", + " (77149605, 'Jonathan Bautista', Decimal('95316.22')),\n", + " (77401497, 'Elizabeth Andersen', Decimal('88391.06')),\n", + " (79438170, 'Ms. Rebecca Hall', Decimal('60703.58')),\n", + " (79475809, 'Bryan Brown Jr.', Decimal('59410.50')),\n", + " (79504929, 'Megan Carlson', Decimal('48345.86')),\n", + " (80342292, 'Rodney Strickland', Decimal('11927.42')),\n", + " (80728264, 'Reginald Roberts', Decimal('78922.39')),\n", + " (82425155, 'David Clark', Decimal('17295.15')),\n", + " (84847035, 'Timothy Williams', Decimal('35919.15')),\n", + " (85232444, 'Ashley Knight', Decimal('58513.22')),\n", + " (86646935, 'Judith Rodriguez', Decimal('82176.38')),\n", + " (87356185, 'Laura Castillo', Decimal('81767.62')),\n", + " (87591115, 'Eric Fields', Decimal('49400.63')),\n", + " (89363591, 'Sara Griffith', Decimal('27862.81')),\n", + " (90446123, 'James Gibson', Decimal('58628.37')),\n", + " (91973536, 'Karen Hunt', Decimal('91278.72')),\n", + " (94335018, 'Eric Mcgee', Decimal('97024.05')),\n", + " (95440048, 'Angela Roman', Decimal('75554.23')),\n", + " (97181338, 'Joseph Matthews', Decimal('23464.91')),\n", + " (97328507, 'Julie Baker', Decimal('86320.40')),\n", + " (98197568, 'Mr. Dylan Hernandez', Decimal('67592.91')),\n", + " (98230343, 'Nicholas Jacobson', Decimal('44952.48')),\n", + " (99345844, 'Caleb Davis', Decimal('40633.29'))]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM account;" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n" + ] + }, + { + "ename": "Exception", + "evalue": "ipython_sql does not support transactions", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mException\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [18]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mget_ipython\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_cell_magic\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msql\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43mBEGIN TRANSACTION;\u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m UPDATE account SET balance = balance + 100\u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m WHERE account = 98230343;\u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m UPDATE account SET balance = balance - 100\u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m WHERE account 95440048;\u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43mCOMMIT\u001b[39;49m\u001b[38;5;130;43;01m\\n\u001b[39;49;00m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/IPython/core/interactiveshell.py:2358\u001b[0m, in \u001b[0;36mInteractiveShell.run_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m 2356\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuiltin_trap:\n\u001b[1;32m 2357\u001b[0m args \u001b[38;5;241m=\u001b[39m (magic_arg_s, cell)\n\u001b[0;32m-> 2358\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2359\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/sql/magic.py:215\u001b[0m, in \u001b[0;36mSqlMagic.execute\u001b[0;34m(self, line, cell, local_ns)\u001b[0m\n\u001b[1;32m 212\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m 214\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 215\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43msql\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparsed\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msql\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muser_ns\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 217\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 218\u001b[0m result \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(result, \u001b[38;5;28mstr\u001b[39m)\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 222\u001b[0m \u001b[38;5;66;03m# Instead of returning values, set variables directly in the\u001b[39;00m\n\u001b[1;32m 223\u001b[0m \u001b[38;5;66;03m# users namespace. Variable names given by column names\u001b[39;00m\n\u001b[1;32m 225\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mautopandas:\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/sql/run.py:357\u001b[0m, in \u001b[0;36mrun\u001b[0;34m(conn, sql, config, user_namespace)\u001b[0m\n\u001b[1;32m 355\u001b[0m first_word \u001b[38;5;241m=\u001b[39m sql\u001b[38;5;241m.\u001b[39mstrip()\u001b[38;5;241m.\u001b[39msplit()[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mlower()\n\u001b[1;32m 356\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m first_word \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbegin\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 357\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mipython_sql does not support transactions\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 358\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m first_word\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \\\n\u001b[1;32m 359\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpostgres\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(conn\u001b[38;5;241m.\u001b[39mdialect) \u001b[38;5;129;01mor\u001b[39;00m \\\n\u001b[1;32m 360\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mredshift\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(conn\u001b[38;5;241m.\u001b[39mdialect)):\n\u001b[1;32m 361\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m PGSpecial:\n", + "\u001b[0;31mException\u001b[0m: ipython_sql does not support transactions" + ] + } + ], + "source": [ + "%%sql\n", + "\n", + "BEGIN TRANSACTION;\n", + " \n", + " UPDATE account SET balance = balance + 100\n", + " WHERE account = 98230343;\n", + " \n", + " \n", + " UPDATE account SET balance = balance - 100\n", + " WHERE account 95440048;\n", + "\n", + "COMMIT" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "with open('cred.json') as f:\n", + " creds = json.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "conn = pymysql.connect(**creds, autocommit=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'account_number': 71167941}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "account1" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor = conn.cursor()\n", + "cursor.execute(\"\"\"\n", + " SELECT balance FROM dimitri_bank.account \n", + " WHERE account_number = %s\n", + " \"\"\", (account1[\"account_number\"],))\n", + "\n", + "amount = 100\n", + "\n", + "current_balance = cursor.fetchone()\n", + "\n", + "cursor.execute(\"\"\"\n", + " UPDATE dimitri_bank.account \n", + " SET balance = balance - %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account1[\"account_number\"],))\n", + "\n", + "cursor.execute(\"\"\"\n", + " UPDATE dimitri_bank.account \n", + " SET balance = balance + %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account2[\"account_number\"],))\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "def transfer(cursor, account1, account2, amount):\n", + " \n", + " cursor.execute(\"BEGIN TRANSACTION\")\n", + " \n", + " try:\n", + " cursor.execute(\"\"\"\n", + " SELECT balance FROM shared_bank.account \n", + " WHERE account_number = %s\n", + " \"\"\", (account1[\"account_number\"],))\n", + "\n", + " current_balance = cursor.fetchone()\n", + "\n", + " if current_balance < amount:\n", + " raise RuntimeError('Insufficient funds')\n", + "\n", + " cursor.execute(\"\"\"\n", + " UPDATE shared_bank.account \n", + " SET balance = balance - %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account1[\"account_number\"],))\n", + "\n", + " cursor.execute(\"\"\"\n", + " UPDATE shared_bank.account \n", + " SET balance = balance + %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account2[\"account_number\"],))\n", + " \n", + " except: \n", + " cursor.execute('CANCEL TRANSACTION')\n", + " raise\n", + " \n", + " else:\n", + " cursor.execute('COMMIT')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Design Patterns\n", + "\n", + "- Sequence\n", + " * workflows\n", + "- Specialization / Generalization\n", + " * student / faculty / staff\n", + "- Hierarchies\n", + " * Ownership\n", + " * Using composite primary keys\n", + " * Secondary keys\n", + "- Parameterization\n", + " * \n", + "- Associations\n", + " * Many-to-many relationships\n", + " * Directed graphs \n", + " * Trees\n", + " * Undirected graphs\n", + "- Master-part\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proceed to delete entire schema `dimitri_patterns`? [yes, No]: yes\n" + ] + } + ], + "source": [ + "schema = dj.schema('dimitri_patterns')\n", + "schema.drop()\n", + "schema = dj.schema('dimitri_patterns')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Sequence / Workflows" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# E.g. order / shipment / confirmation" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Order(dj.Manual):\n", + " definition = \"\"\"\n", + " order_number : int\n", + " ---\n", + " order_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Shipment(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Order\n", + " ---\n", + " ship_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Confirm(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Shipment\n", + " ---\n", + " confirm_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + " " + ], + "text/plain": [ + "*subject_id *session *scan_id laser_power \n", + "+------------+ +---------+ +---------+ +------------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Scan()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "Scan.insert1(dict(subject_id=2, scan_id=1, session=1, laser_power=3200))" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Cell(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Scan\n", + " cell_id : int\n", + " ---\n", + " cell_type : enum('E', 'I') # excitatory or inhibitory\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me excitatory cells for all males" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + " " + ], + "text/plain": [ + "*subject_id *session *scan_id *cell_id cell_type \n", + "+------------+ +---------+ +---------+ +---------+ +-----------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Cell & (Subject & {'sex': \"M\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subject2(dj.Manual):\n", + " definition = \"\"\"\n", + " # Experiment Subject\n", + " subject_id : int\n", + " ---\n", + " species = 'mouse' : enum('human', 'mouse', 'rat', 'worm')\n", + " sex : enum('F', 'M', 'unknown')\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Session2(dj.Manual):\n", + " definition = \"\"\"\n", + " session : int\n", + " ---\n", + " -> Subject2\n", + " session_timestamp = CURRENT_TIMESTAMP : timestamp\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Scan2(dj.Manual):\n", + " definition = \"\"\"\n", + " scan_id : int\n", + " ---\n", + " -> Session2\n", + " laser_power : float # mW\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Cell2(dj.Manual):\n", + " definition = \"\"\"\n", + " cell_id : int\n", + " ---\n", + " -> Scan2\n", + " cell_type : enum('E', 'I') # excitatory or inhibitory\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "ename": "MissingAttributeError", + "evalue": "Field 'subject_id' doesn't have a default value", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mMissingAttributeError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [53]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mCell\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert1\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mcell_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscan_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcell_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mE\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:334\u001b[0m, in \u001b[0;36mTable.insert1\u001b[0;34m(self, row, **kwargs)\u001b[0m\n\u001b[1;32m 327\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minsert1\u001b[39m(\u001b[38;5;28mself\u001b[39m, row, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 328\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 329\u001b[0m \u001b[38;5;124;03m Insert one data record into the table. For ``kwargs``, see ``insert()``.\u001b[39;00m\n\u001b[1;32m 330\u001b[0m \n\u001b[1;32m 331\u001b[0m \u001b[38;5;124;03m :param row: a numpy record, a dict-like object, or an ordered sequence to be inserted\u001b[39;00m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;124;03m as one row.\u001b[39;00m\n\u001b[1;32m 333\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 334\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:430\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 415\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{command}\u001b[39;00m\u001b[38;5;124m INTO \u001b[39m\u001b[38;5;132;01m{destination}\u001b[39;00m\u001b[38;5;124m(`\u001b[39m\u001b[38;5;132;01m{fields}\u001b[39;00m\u001b[38;5;124m`) VALUES \u001b[39m\u001b[38;5;132;01m{placeholders}\u001b[39;00m\u001b[38;5;132;01m{duplicate}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m 416\u001b[0m command\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mREPLACE\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m replace \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mINSERT\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 417\u001b[0m destination\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfrom_clause(),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 428\u001b[0m ),\n\u001b[1;32m 429\u001b[0m )\n\u001b[0;32m--> 430\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquery\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 431\u001b[0m \u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 432\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 433\u001b[0m \u001b[43m \u001b[49m\u001b[43mitertools\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchain\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_iterable\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 434\u001b[0m \u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mr\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mvalues\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mr\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrows\u001b[49m\n\u001b[1;32m 435\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 436\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 437\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 438\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m UnknownAttributeError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 439\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\u001b[38;5;241m.\u001b[39msuggest(\n\u001b[1;32m 440\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 441\u001b[0m )\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/connection.py:340\u001b[0m, in \u001b[0;36mConnection.query\u001b[0;34m(self, query, args, as_dict, suppress_warnings, reconnect)\u001b[0m\n\u001b[1;32m 338\u001b[0m cursor \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_conn\u001b[38;5;241m.\u001b[39mcursor(cursor\u001b[38;5;241m=\u001b[39mcursor_class)\n\u001b[1;32m 339\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 340\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_query\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msuppress_warnings\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 341\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m errors\u001b[38;5;241m.\u001b[39mLostConnectionError:\n\u001b[1;32m 342\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m reconnect:\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/connection.py:296\u001b[0m, in \u001b[0;36mConnection._execute_query\u001b[0;34m(cursor, query, args, suppress_warnings)\u001b[0m\n\u001b[1;32m 294\u001b[0m cursor\u001b[38;5;241m.\u001b[39mexecute(query, args)\n\u001b[1;32m 295\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m client\u001b[38;5;241m.\u001b[39merr\u001b[38;5;241m.\u001b[39mError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[0;32m--> 296\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m translate_query_error(err, query)\n", + "\u001b[0;31mMissingAttributeError\u001b[0m: Field 'subject_id' doesn't have a default value" + ] + } + ], + "source": [ + "Cell.insert1(dict(cell_id=1, scan_id=1, cell_type=\"E\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Cell()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me cells for subject_id=1\n", + "\n", + "Cell2 & (Scan2 & (Session2 & 'subject_id=2'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me cells for all males\n", + "\n", + "(Cell2 & (Scan2 & (Session2 & (Subject2 & 'sex=\"M\"')))).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "(Cell & (Subject & 'sex=\"M\"')).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Parameterization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Image(dj.Manual):\n", + " definition = \"\"\"\n", + " image_id : int\n", + " ---\n", + " image : longblob\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class EnhanceMethod(dj.Lookup):\n", + " definition = \"\"\"\n", + " enhance_method : int\n", + " ---\n", + " method_name : varchar(16)\n", + " \"\"\"\n", + " \n", + " contents = ((1, \"sharpen\"), (2, \"contrast\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class EnhancedImage(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Image\n", + " -> EnhanceMethod\n", + " ---\n", + " enhanced_image : longblob\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Association \n", + "\n", + "Books and authors\n", + "\n", + "Checking accounts and account owners" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Book(dj.Manual):\n", + " definition = \"\"\"\n", + " isbn : int\n", + " ---\n", + " title : varchar(300)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Author(dj.Manual):\n", + " definition = \"\"\"\n", + " author_id : int\n", + " ---\n", + " name : varchar(300)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class AuthorBook(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Author\n", + " -> Book\n", + " ---\n", + " order : tinyint unsigned \n", + " unique index(isbn, order)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Generalization / specialization\n", + "\n", + "Employee, student, instructor" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int\n", + " ---\n", + " date_of_birth : date\n", + " gender : enum(\"male\", \"female\", \"unknown\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Employee(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " hire_date : date \n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Instructor(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Employee\n", + " ---\n", + " department : varchar(30)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " admission_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Student\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Instructor\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Directed graphs " + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subordinate(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Employee\n", + " ---\n", + " -> Employee.proj(manager_id=\"person_id\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "0\n", + "\n", + "0\n", + "\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0->Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->0\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Instructor\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Student\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Neuron(dj.Manual):\n", + " definition = \"\"\"\n", + " neuron : int\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Synapse(dj.Manual):\n", + " definition = \"\"\"\n", + " synapse_id : int\n", + " ---\n", + " -> Neuron.proj(pre=\"neuron\")\n", + " -> Neuron.proj(post=\"neuron\") \n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "1\n", + "\n", + "1\n", + "\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1->Synapse\n", + "\n", + "\n", + "\n", + "\n", + "2\n", + "\n", + "2\n", + "\n", + "\n", + "\n", + "2->Synapse\n", + "\n", + "\n", + "\n", + "\n", + "3\n", + "\n", + "3\n", + "\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "3->Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->3\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Instructor\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Student\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Neuron\n", + "\n", + "\n", + "Neuron\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Neuron->1\n", + "\n", + "\n", + "\n", + "\n", + "Neuron->2\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```sql\n", + "\n", + "CREATE TABLE managed_by (\n", + " person_id : int NOT NULL,\n", + " manager_id : int NOT NULL,\n", + " \n", + " PRIMARY KEY (person_id),\n", + " \n", + " FOREIGN KEY (person_id) REFERENCES employee (person_id),\n", + " FOREIGN KEY (manager_id) reference employee (person_id))\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Undirected graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "# direcated friendship = full directed graph capability\n", + "@schema\n", + "class Friendship(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person.proj(friend1 = \"person_id\")\n", + " -> Person.proj(friend2 = \"person_id\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "4\n", + "\n", + "4\n", + "\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "\n", + "\n", + "\n", + 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"\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Neuron\n", + "\n", + "\n", + "Neuron\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Neuron->6\n", + "\n", + "\n", + "\n", + "\n", + "Neuron->7\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Order(dj.Manual):\n", + " definition = \"\"\"\n", + " order_id : int\n", + " ---\n", + " order_date : date\n", + " \"\"\"\n", + " \n", + " class Item(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " order_item : int\n", + " ---\n", + " \n", + " \"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Puzzle: \n", + "Cities and states.\n", + "1. Each city belongs to one state. \n", + "2. Each state has one capital.\n", + "3. A capital is a city.\n", + "4. A capital must be in the same state. \n", + "\n", + "* Tables\n", + "* Primary keys\n", + "* Foreign keys" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class State(dj.Manual):\n", + " definition = \"\"\"\n", + " st : char(2)\n", + " ---\n", + " state : varchar(30)\n", + " \"\"\"\n", + "\n", + "State.insert((\n", + " (\"WA\", \"Washington\"),\n", + " (\"TX\", \"Texas\"),\n", + " (\"AK\", \"Alaska\"),\n", + " (\"LA\", \"Louisiana\")\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class City(dj.Manual):\n", + " definition = \"\"\"\n", + " -> State\n", + " city_name : varchar(30)\n", + " ---\n", + " capital = null : enum(\"YES\")\n", + " unique index(st, capital)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "City.delete_quick()\n", + "\n", + "City.insert1((\"WA\", \"Seattle\", None))\n", + "City.insert1((\"TX\", \"Austin\", \"YES\"))\n", + "City.insert1((\"TX\", \"Houston\", None))\n", + "City.insert1((\"WA\", \"Olympia\", \"YES\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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st

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Total: 4

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"source": [ + "State2.delete_quick()\n", + "City2.delete_quick()\n", + "\n", + "State2.insert((\n", + " (\"WA\", \"Washington\"),\n", + " (\"TX\", \"Texas\"),\n", + " (\"AK\", \"Alaska\"),\n", + " (\"LA\", \"Louisiana\")\n", + "))\n", + "\n", + "City2.insert1((\"WA\", \"Seattle\"))\n", + "City2.insert1((\"TX\", \"Austin\"))\n", + "City2.insert1((\"TX\", \"Houston\"))\n", + "City2.insert1((\"WA\", \"Olympia\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "9\n", + "\n", + "9\n", + "\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "9->Friendship\n", + "\n", + "\n", + "\n", + "\n", + "10\n", + "\n", + "10\n", + "\n", + "\n", + "\n", + "10->Friendship\n", + "\n", + "\n", + "\n", + "\n", + "11\n", + "\n", + "11\n", + "\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", 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[76]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mCapital2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTX\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mHouston\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:334\u001b[0m, in \u001b[0;36mTable.insert1\u001b[0;34m(self, row, **kwargs)\u001b[0m\n\u001b[1;32m 327\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minsert1\u001b[39m(\u001b[38;5;28mself\u001b[39m, row, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 328\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 329\u001b[0m \u001b[38;5;124;03m Insert one data record into the table. For ``kwargs``, see ``insert()``.\u001b[39;00m\n\u001b[1;32m 330\u001b[0m \n\u001b[1;32m 331\u001b[0m \u001b[38;5;124;03m :param row: a numpy record, a dict-like object, or an ordered sequence to be inserted\u001b[39;00m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;124;03m as one row.\u001b[39;00m\n\u001b[1;32m 333\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 334\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:443\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 439\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\u001b[38;5;241m.\u001b[39msuggest(\n\u001b[1;32m 440\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 441\u001b[0m )\n\u001b[1;32m 442\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m DuplicateError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[0;32m--> 443\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\u001b[38;5;241m.\u001b[39msuggest(\n\u001b[1;32m 444\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo ignore duplicate entries in insert, set skip_duplicates=True\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 445\u001b[0m )\n", + "\u001b[0;31mDuplicateError\u001b[0m: (\"Duplicate entry 'TX' for key 'PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')" + ] + } + ], + "source": [ + "Capital2.insert1((\"TX\", \"Houston\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

state

\n", + " \n", + "
\n", + "

city_name

\n", + " \n", + "
TXAustin
TXHouston
WAOlympia
WASeattle
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*state *city_name \n", + "+-------+ +-----------+\n", + "TX Austin \n", + "TX Houston \n", + "WA Olympia \n", + "WA Seattle \n", + " (Total: 4)" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "City2()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In SQL \n", + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2) NOT NULL,\n", + " state_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state))\n", + " \n", + "CREATE TABLE city (\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state, city_name),\n", + " FOREIGN KEY (state) REFERENCES state(state))\n", + "\n", + "CREATE TABLE capital (\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state),\n", + " FOREIGN KEY (state, city_name) REFERENCES city (state, city_name))\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (724225854.py, line 1)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Input \u001b[0;32mIn [78]\u001b[0;36m\u001b[0m\n\u001b[0;31m ```sql\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] + } + ], + "source": [ + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2),\n", + " state_name varchar(30),\n", + " capital varchar(30),\n", + " PRIMARY KEY (state),\n", + " FOREIGN KEY (state, capital) REFERENCES city (state, city_name))\n", + " \n", + "CREATE TABLE city (\n", + " state char(2),\n", + " city_name varchar(30),\n", + " PRIMARY KEY (state, city_name))\n", + " FOREIGN KEY (state) REFERENCES state(state)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In SQL \n", + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2) NOT NULL,\n", + " state_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state))\n", + " \n", + "CREATE TABLE city (\n", + " city_id int NOT NULL,\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " is_capital enum('yes'),\n", + " PRIMARY KEY (state_id),\n", + " UNIQUE INDEX(state, is_capital),\n", + " FOREIGN KEY (state) REFERENCES state(state))\n", + "```\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Problem \n", + "\n", + "Model a vet clinic. \n", + "\n", + "1. Customers bring in pets. Customers are identified by their cell phones. Pets are identified by their nicknames for that customer.\n", + "\n", + "2. Pets have a date of birth, species, and date of birth.\n", + "\n", + "3. Pets have a list of vaccinations that must be performed for their species.\n", + "\n", + "4. Pets have vaccination administration, shot date. " + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proceed to delete entire schema `shared_vet`? [yes, No]: yes\n" + ] + } + ], + "source": [ + "schema = dj.Schema('shared_vet')\n", + "schema.drop()\n", + "schema = dj.Schema('shared_vet')" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Owner(dj.Manual):\n", + " definition = \"\"\"\n", + " cell_phone : char(10) \n", + " ---\n", + " full_name : varchar(16)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Species(dj.Lookup):\n", + " definition = \"\"\"\n", + " species : varchar(30)\n", + " \"\"\"\n", + " contents = (('cat',), ('dog',), ('ferret',), ('parrot',))" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
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species

\n", + " \n", + "
cat
dog
ferret
parrot
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*species \n", + "+---------+\n", + "cat \n", + "dog \n", + "ferret \n", + "parrot \n", + " (Total: 4)" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Species()" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Pet(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Owner\n", + " -> Species\n", + " nickname : varchar(30)\n", + " ---\n", + " birthdate : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class RequiredVaccine(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Species\n", + " vaccine : varchar(10)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Shot(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Pet\n", + " -> RequiredVaccine\n", + " ---\n", + " shot_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
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cell_phone

\n", + " \n", + "
\n", + "

species

\n", + " \n", + "
\n", + "

nickname

\n", + " \n", + "
\n", + "

vaccine

\n", + " \n", + "
\n", + "

shot_date

\n", + " \n", + "
\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*cell_phone *species *nickname *vaccine shot_date \n", + "+------------+ +---------+ +----------+ +---------+ +-----------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Shot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```sql\n", + "create table shot (\n", + " cell_phone char(10) NOT NULL,\n", + " nickname varchar(16) NOT NULL,\n", + " species varchar(20) NOT NULL,\n", + " vaccine varchar(10) NOT NULL,\n", + " PRIMARY KEY (cell_phone, nickname, species, vaccine),\n", + " FOREIGN KEY (cell_phone, nickname, species) REFERENCES pet(cell_phone, nickname, species),\n", + " FOREIGN KEY (species, vaccine) REFERENCES required_vaccine(species, vaccine)\n", + ")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Homework homework\n", + "\n", + "Homework assignments, students, grades\n", + "\n", + "1. Homework is given with a due date.\n", + "2. Students submit homework, we record the submit date\n", + "3. Submitted homework gets a grade\n" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Assignment(dj.Manual):\n", + " definition = \"\"\"\n", + " assignment : int\n", + " ---\n", + " due_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "@schema \n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " student_id : int\n", + " ---\n", + " student_name : varchar(30)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Submission(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " -> Assignment\n", + " ---\n", + " submit_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Grade(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Submission\n", + " ---\n", + " grade : char(1)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Submission->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Messaging App (Slack, Telegram, Signal)\n", + "\n", + "1. Users can create channels. Each channel belongs to one user.\n", + "3. Channel names are globally unique\n", + "2. A user can create a post in their channels only\n", + "3. A user can be a guest in another person's channel.\n", + "4. Guest can reply to posts\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class User(dj.Manual):\n", + " definition = \"\"\"\n", + " username : varchar(12)\n", + " ---\n", + " irl_name : varchar(30)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Channel(dj.Manual):\n", + " definition = \"\"\"\n", + " channel : varchar(12)\n", + " ---\n", + " -> User\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Guest(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Channel\n", + " -> User\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Guest\n", + "\n", + "\n", + "\n", + "\n", + "Channel\n", + "\n", + "\n", + "Channel\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Channel\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Channel->Guest\n", + "\n", + "\n", + "\n", + "\n", + "Submission->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Post(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Channel\n", + " post : int\n", + " ---\n", + " message : varchar(1024)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
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channel

\n", + " \n", + "
\n", + "

post

\n", + " \n", + "
\n", + "

message

\n", + " \n", + "
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username

\n", + " \n", + "
\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*channel *post message username \n", + "+---------+ +------+ +---------+ +----------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Post * Channel" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Response(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Post\n", + " -> Guest\n", + " ---\n", + " response : varchar(1024)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Response\n", + "\n", + "\n", + "Response\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Guest\n", + "\n", + "\n", + "\n", + "\n", + "Channel\n", + "\n", + "\n", + "Channel\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Channel\n", + "\n", + "\n", + "\n", + "\n", + "Guest->Response\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Post\n", + "\n", + "\n", + "Post\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Post->Response\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Channel->Guest\n", + "\n", + "\n", + "\n", + "\n", + "Channel->Post\n", + "\n", + "\n", + "\n", + "\n", + "Submission->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "benv", + "language": "python", + "name": "benv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/db-course/EntityIntegrity.ipynb b/db-course/EntityIntegrity.ipynb new file mode 100644 index 0000000..a08dcde --- /dev/null +++ b/db-course/EntityIntegrity.ipynb @@ -0,0 +1,718 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "with open('cred.json') as f:\n", + " creds = json.load(f)\n", + "\n", + "connection_string = \"mysql://{user}:{password}@{host}\".format(**creds)\n", + "\n", + "import pymysql \n", + "pymysql.install_as_MySQLdb()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql $connection_string" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.data-science-ust.net\n", + "(pymysql.err.ProgrammingError) (1007, \"Can't create database 'dimitri_university'; database exists\")\n", + "[SQL: create schema dimitri_university;]\n", + "(Background on this error at: http://sqlalche.me/e/13/f405)\n" + ] + } + ], + "source": [ + "%%sql\n", + "\n", + "create schema dimitri_university;" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.data-science-ust.net\n", + "12 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Database
abrahap_university
dimitri_university
gimenel_university
information_schema
innodb
llewis1_university
mysql
ortizc2_university
patelcu_university
performance_schema
test
wrightm1_university
" + ], + "text/plain": [ + "[('abrahap_university',),\n", + " ('dimitri_university',),\n", + " ('gimenel_university',),\n", + " ('information_schema',),\n", + " ('innodb',),\n", + " ('llewis1_university',),\n", + " ('mysql',),\n", + " ('ortizc2_university',),\n", + " ('patelcu_university',),\n", + " ('performance_schema',),\n", + " ('test',),\n", + " ('wrightm1_university',)]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "show databases;" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.data-science-ust.net\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql \n", + "\n", + "use dimitri_university" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.data-science-ust.net\n", + "3 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Tables_in_dimitri_university
employee
person
~log
" + ], + "text/plain": [ + "[('employee',), ('person',), ('~log',)]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql \n", + "\n", + "show tables" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.data-science-ust.net\n", + "(pymysql.err.ProgrammingError) (1146, \"Table 'dimitri_university.person' doesn't exist\")\n", + "[SQL: select * from person]\n", + "(Background on this error at: http://sqlalche.me/e/13/f405)\n" + ] + } + ], + "source": [ + "%%sql\n", + "\n", + "select * from person" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.data-science-ust.net\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "DELETE FROM person" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.data-science-ust.net\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "DROP TABLE person;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "\n", + "create table dimitri_university.person (\n", + " personal_id integer,\n", + " first_name varchar(30),\n", + " last_name varchar(30),\n", + " date_of_birth date\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "drop table dimitri_university.person;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "show tables from dimitri_university" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "show create table dimitri_university.person" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "INSERT dimitri_university.person values (1, 'Bob', 'Jones', '2000-01-01');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM dimitri_university.person;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "INSERT dimitri_university.person (personal_id, first_name, last_name, date_of_birth) \n", + " values (1, 'Bob', 'Jones', '2000-01-01');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "INSERT dimitri_university.person (personal_id, last_name) \n", + " values (2, 'Jones');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "use dimitri_university" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM person;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "INSERT person (last_name) \n", + " values ('Jones');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "\n", + "SELECT * FROM person;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# That was a bad design. Let's try again" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "use dimitri_university" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "drop table person" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "\n", + "create table person (\n", + " personal_id integer unsigned NOT NULL,\n", + " first_name varchar(30) NOT NULL,\n", + " last_name varchar(30) NOT NULL,\n", + " date_of_birth date NOT NULL,\n", + " address varchar(30) DEFAULT \"\" NOT NULL,\n", + " PRIMARY KEY(personal_id)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "drop table person;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "INSERT person (personal_id, first_name, last_name, date_of_birth) \n", + " values (1, 'Bob', 'Jones', '2020-01-01');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "INSERT person (personal_id, first_name, last_name, date_of_birth) \n", + " values (2, 'Alice', 'Cooper', '2020-01-02');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM person" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "INSERT person (personal_id, first_name, last_name, date_of_birth) \n", + " values (4, 'Caren', 'Peterson', '2020-05-01'),\n", + " (3, 'Bob', 'Dylan', '2020-03-03');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM person" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Entity integrity \n", + "\n", + "Entity integrity is the guarantee given by the data management process of 1-to-1 correspondence between entities in the real world and their digital representations. The database cannot do it on its own.\n", + "\n", + "To enforce this, databases enforce the uniquness of the primary key." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introducing DataJoint" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.config['database.host'] = creds['host']\n", + "dj.config['database.user'] = creds['user']\n", + "dj.config['database.password'] = creds['password']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.conn()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.set_password()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.schema('dimitri_university')\n", + "schema.spawn_missing_classes()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Employee(dj.Manual):\n", + " definition = \"\"\"\n", + " employee_id : int unsigned\n", + " ---\n", + " first_name : varchar(30)\n", + " last_name : varchar(30)\n", + " date_of_birth : date \n", + " address : varchar(60)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert1((1, 'Carol', 'Fair', '2020-07-01', 'Far Away'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Person().make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sqlite3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/db-course/GroupBy.ipynb b/db-course/GroupBy.ipynb new file mode 100644 index 0000000..cc592c2 --- /dev/null +++ b/db-course/GroupBy.ipynb @@ -0,0 +1,1926 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Aggregation queries\n", + "\n", + "In this assigment, we will fetch data from a relational database server directly into Python variables. Using these new skills, we will complete the problems from Chapters 12, 13, and 14 in *SQL Queries for Mere Mortals*." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Concepts\n", + "\n", + "Review the MySQL aggregate functions: https://dev.mysql.com/doc/refman/8.0/en/aggregate-functions.html\n", + "\n", + "Three types of queries\n", + "\n", + "1. Aggregation functions with no `GROUP BY` clause produce 1 row. \n", + "2. Aggregation functions combined with a `GROUP BY` clause. The unique key of the result is composed of the columns of the `GROUP BY` clause.\n", + "3. Most common pattern: `JOIN` or `LEFT JOIN` of a table pair in a one-to-many relationship, grouped by the primary key of the left table. This aggregates the right entity set with respect to the left entity set. \n", + "\n", + "Note that MySQL with the default settings allows mixing aggregated and non-aggregated values (See https://dev.mysql.com/doc/refman/5.7/en/sql-mode.html#sqlmode_only_full_group_by). So you have to watch avoid invalid mixes of values.\n", + "\n", + "Using `HAVING` is equivalent to using a `WHERE` clause in an outer query." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Aggregation Queries\n", + "\n", + "Queries using aggregation functions, `GROUP BY`, and `HAVING` clauses. Using `LEFT JOIN` in combination with `GROUP BY`" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import pymysql \n", + "\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "with open('cred.json') as f:\n", + " creds = json.load(f)\n", + "\n", + "connection_string = \"mysql://{user}:{password}@{host}\".format(**creds)\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql $connection_string" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2022-11-01 18:34:02,978][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", + "[2022-11-01 18:34:03,305][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + ] + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "0\n", + "\n", + "0\n", + "\n", + "\n", + "\n", + "airport.Flight\n", + "\n", + "\n", + "airport.Flight\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0->airport.Flight\n", + "\n", + "\n", + "\n", + "\n", + "1\n", + "\n", + "1\n", + "\n", + "\n", + "\n", + "1->airport.Flight\n", + "\n", + "\n", + "\n", + "\n", + "2\n", + "\n", + "2\n", + "\n", + "\n", + "\n", + "airport.Airline\n", + "\n", + "\n", + "airport.Airline\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "2->airport.Airline\n", + "\n", + "\n", + "\n", + "\n", + "3\n", + "\n", + "3\n", + "\n", + "\n", + "\n", + "airport.Flightschedule\n", + "\n", + "\n", + "airport.Flightschedule\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "3->airport.Flightschedule\n", + "\n", + "\n", + "\n", + "\n", + "4\n", + "\n", + "4\n", + "\n", + "\n", + "\n", + "4->airport.Flightschedule\n", + "\n", + "\n", + "\n", + "\n", + "airport.Booking\n", + "\n", + "\n", + "airport.Booking\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.AirportReachable\n", + "\n", + "\n", + "airport.AirportReachable\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airplane\n", + "\n", + "\n", + "airport.Airplane\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airplane->airport.Flight\n", + "\n", + "\n", + "\n", + "\n", + "airport.Passengerdetails\n", + "\n", + "\n", + "airport.Passengerdetails\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.Flightschedule->airport.Flight\n", + "\n", + "\n", + "\n", + "\n", + "airport.Employee\n", + "\n", + "\n", + "airport.Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.AirplaneType\n", + "\n", + "\n", + "airport.AirplaneType\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.AirplaneType->airport.Airplane\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airline->airport.Flightschedule\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airline->airport.Flight\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport\n", + "\n", + "\n", + "airport.Airport\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport->0\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport->1\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport->2\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport->3\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport->4\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport->airport.AirportReachable\n", + "\n", + "\n", + "\n", + "\n", + "airport.AirportGeo\n", + "\n", + "\n", + "airport.AirportGeo\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.Airport->airport.AirportGeo\n", + "\n", + "\n", + "\n", + "\n", + "airport.Weatherdata\n", + "\n", + "\n", + "airport.Weatherdata\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.Passenger\n", + "\n", + "\n", + "airport.Passenger\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "airport.Passenger->airport.Booking\n", + "\n", + "\n", + "\n", + "\n", + "airport.Passenger->airport.Passengerdetails\n", + "\n", + "\n", + "\n", + "\n", + "airport.Flight->airport.Booking\n", + "\n", + "\n", + "\n", + "\n", + "sales.ProductVendor\n", + "\n", + "\n", + "sales.ProductVendor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Category\n", + "\n", + "\n", + "sales.Category\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Product\n", + "\n", + "\n", + "sales.Product\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Category->sales.Product\n", + "\n", + "\n", + "\n", + "\n", + "sales.Vendor\n", + "\n", + "\n", + "sales.Vendor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Vendor->sales.ProductVendor\n", + "\n", + "\n", + "\n", + "\n", + "sales.Employee\n", + "\n", + "\n", + "sales.Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Order\n", + "\n", + "\n", + "sales.Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Employee->sales.Order\n", + "\n", + "\n", + "\n", + "\n", + "sales.Product->sales.ProductVendor\n", + "\n", + "\n", + "\n", + "\n", + "sales.Order.Item\n", + "\n", + "\n", + "sales.Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Product->sales.Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "sales.Order->sales.Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "sales.Customer\n", + "\n", + "\n", + "sales.Customer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Customer->sales.Order\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import datajoint as dj\n", + "sales = dj.create_virtual_module('sales', 'shared_sales')\n", + "airport = dj.create_virtual_module('airport', 'shared_airport')\n", + "dj.Diagram(sales) + dj.Diagram(airport)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Customer\n", + "\n", + "\n", + "sales.Customer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Order\n", + "\n", + "\n", + "sales.Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Customer->sales.Order\n", + "\n", + "\n", + "\n", + "\n", + "sales.Vendor\n", + "\n", + "\n", + "sales.Vendor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.ProductVendor\n", + "\n", + "\n", + "sales.ProductVendor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Vendor->sales.ProductVendor\n", + "\n", + "\n", + "\n", + "\n", + "sales.Order.Item\n", + "\n", + "\n", + "sales.Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Order->sales.Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "sales.Category\n", + "\n", + "\n", + "sales.Category\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Product\n", + "\n", + "\n", + "sales.Product\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Category->sales.Product\n", + "\n", + "\n", + "\n", + "\n", + "sales.Product->sales.ProductVendor\n", + "\n", + "\n", + "\n", + "\n", + "sales.Product->sales.Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "sales.Employee\n", + "\n", + "\n", + "sales.Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "sales.Employee->sales.Order\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(sales)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

product_number

\n", + " \n", + "
\n", + "

vendor_id

\n", + " \n", + "
\n", + "

wholesale_price

\n", + " \n", + "
\n", + "

days_to_deliver

\n", + " \n", + "
14804.006
19854.227
261269.009
291477.817
3754.1910
3957.276
4644.2210
4941.6214
575.3810
595.879
62403.223
69448.737
\n", + "

...

\n", + "

Total: 90

\n", + " " + ], + "text/plain": [ + "*product_numbe *vendor_id wholesale_pric days_to_delive\n", + "+------------+ +-----------+ +------------+ +------------+\n", + "1 4 804.00 6 \n", + "1 9 854.22 7 \n", + "2 6 1269.00 9 \n", + "2 9 1477.81 7 \n", + "3 7 54.19 10 \n", + "3 9 57.27 6 \n", + "4 6 44.22 10 \n", + "4 9 41.62 14 \n", + "5 7 5.38 10 \n", + "5 9 5.87 9 \n", + "6 2 403.22 3 \n", + "6 9 448.73 7 \n", + " ...\n", + " (Total: 90)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sales.ProductVendor()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Increasing complexity of queries" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "USE shared_sales" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Aggregation functions MAX, MIN, AVG, SUM, COUNT" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT *\n", + "FROM product \n", + "LIMIT 10;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- show the max retail price and the average retail price of products\n", + "\n", + "SELECT COUNT(*) AS n, MAX(retail_price) max_price, \n", + " AVG(retail_price) avg_price \n", + "FROM product" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT count(*) n,\n", + "MAX(retail_price) max_price, \n", + "AVG(retail_price) avg_price \n", + "FROM product" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- aggregation with condition\n", + "-- show the average retail price for non-bikes\n", + "\n", + "SELECT AVG(retail_price) as avg_price \n", + "FROM product \n", + "WHERE category_id NOT IN (\n", + " SELECT category_id \n", + " FROM category\n", + " WHERE category_description = \"Bikes\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- show products above average price\n", + "-- The following does NOT work\n", + "\n", + "SELECT * \n", + "FROM product \n", + "WHERE retail_price > avg(retail_price)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- show products above average price\n", + "-- Use a scalar subquery\n", + "\n", + "SELECT * \n", + "FROM product \n", + "WHERE retail_price > (SELECT avg(retail_price) FROM product)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- what not to do:\n", + "\n", + "SELECT *\n", + "FROM product\n", + "GROUP BY category_id\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- this is good\n", + "\n", + "SELECT category_id\n", + "FROM product\n", + "GROUP BY category_id\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT DISTINCT category_id\n", + "FROM product" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- show the numbers and average price of products in each category\n", + "\n", + "SELECT category_id, \n", + " count(*) as n, \n", + " ROUND(AVG(retail_price), 2) as avg_price\n", + "FROM product\n", + "GROUP BY category_id\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "\n", + "-- using in a subquery\n", + "\n", + "SELECT * FROM (\n", + " SELECT category_id, round(AVG(retail_price), 2) as avg_price\n", + " FROM product\n", + " GROUP BY category_id) as _ NATURAL JOIN category\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "\n", + "-- pre-join before group\n", + "\n", + "SELECT category.*, avg(retail_price) as avg_price \n", + "FROM category NATURAL LEFT JOIN product\n", + "GROUP BY category_id" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- show number of products in each category with retail price > 100.00\n", + "\n", + "SELECT category.*, count(*) as n\n", + "FROM category NATURAL JOIN product \n", + "WHERE retail_price > 100\n", + "GROUP BY category_id" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "-- show the number of items in each category priced over $100\n", + "SELECT category.*, count(product_number) as number_of_products\n", + "FROM category NATURAL LEFT JOIN (\n", + " SELECT * FROM product WHERE retail_price > 100) as _\n", + "GROUP BY category_id\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- show the top 10 customers who placed most orders\n", + "\n", + "SELECT customer_id, count(order_number) as number_of_orders\n", + "FROM customer NATURAL LEFT JOIN `order` \n", + "GROUP BY customer_id\n", + "ORDER BY number_of_orders DESC\n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- show all customers who have placed over 40 orders since \n", + "-- the start of 2016\n", + "\n", + "SELECT * FROM (\n", + " SELECT customer_id, count(order_number) as number_of_orders\n", + " FROM customer NATURAL JOIN `order` \n", + " WHERE order_date > \"2016-01-01\"\n", + " GROUP BY customer_id) as _\n", + "WHERE number_of_orders > 40" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- show all customers who have placed over 40 orders \n", + "-- since the start of 2016\n", + "\n", + "SELECT customer_id, count(order_number) as number_of_orders\n", + "FROM customer NATURAL LEFT JOIN `order` \n", + "WHERE order_date > \"2016-01-01\"\n", + "GROUP BY customer_id\n", + "HAVING number_of_orders > 40\n", + "ORDER BY number_of_orders DESC" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- show the customer who has spent the most money\n", + "\n", + "SELECT customer.*, sum(quoted_price * quantity_ordered) as total\n", + "FROM customer NATURAL LEFT JOIN \n", + " (SELECT * FROM `order` NATURAL JOIN `order__item`) as _\n", + "GROUP BY customer_id\n", + "ORDER BY total DESC\n", + "LIMIT 1\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT customer.*, sum(quoted_price * quantity_ordered) as total\n", + "FROM customer NATURAL JOIN `order` NATURAL JOIN `order__item`\n", + "GROUP BY customer_id\n", + "ORDER BY total DESC\n", + "LIMIT 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- show averages prices per category for products with \n", + "-- retail price > 100.00\n", + "\n", + "SELECT category.*, round(AVG(retail_price), 2) as avg_price \n", + "FROM category NATURAL JOIN product\n", + "WHERE retail_price > 100\n", + "GROUP BY category_id" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- Categories with the average prices > 100\n", + "\n", + "SELECT * FROM (\n", + " SELECT category.*, AVG(retail_price) as avg_price \n", + " FROM category NATURAL JOIN product\n", + " GROUP BY category_id) as q\n", + "WHERE avg_price > 100" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- Categories with the average prices > 100\n", + "\n", + "SELECT category.*, AVG(retail_price) as avg_price \n", + "FROM category NATURAL JOIN product\n", + "GROUP BY category_id\n", + "HAVING avg_price > 100\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- show empty orders \n", + "\n", + "SELECT * \n", + "FROM `order` \n", + "WHERE order_number NOT IN (\n", + " SELECT order_number \n", + " FROM order__item)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- show empty orders\n", + "\n", + "SELECT * \n", + "FROM `order` NATURAL LEFT JOIN order__item\n", + "WHERE product_number is NULL" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- bad because mixes aggregated and random \n", + "\n", + "SELECT * FROM `order` NATURAL LEFT JOIN order__item\n", + "GROUP BY order_number\n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- show empty orders\n", + "\n", + "SELECT `order`.*, COUNT(product_number) as nitems \n", + "FROM `order` NATURAL LEFT JOIN order__item\n", + "GROUP BY order_number\n", + "HAVING nitems = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT `order`.*, product_number as nitems \n", + "FROM `order` NATURAL LEFT JOIN order__item\n", + "LIMIT 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example problems" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- Customers and the number of orders that they made\n", + "\n", + "SELECT customer_id, customer_first_name, customer_last_name, \n", + " count(order_number) as norders\n", + "FROM customer NATURAL LEFT JOIN `order`\n", + "GROUP BY customer_id\n", + "ORDER BY norders DESC\n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- orders with their total amounts\n", + "\n", + "SELECT `order`.*, IFNULL(sum(quoted_price * quantity_ordered), 0) as total_amount\n", + "FROM `order` NATURAL LEFT JOIN `order__item` \n", + "GROUP BY order_number\n", + "ORDER BY total_amount \n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- customers and the total $$$ spent\n", + "\n", + "SELECT customer_id, customer_last_name, sum(total_amount) money_spent\n", + "FROM customer NATURAL LEFT JOIN (\n", + " SELECT `order`.*, IFNULL(sum(quoted_price * quantity_ordered), 0) as total_amount\n", + " FROM `order` NATURAL LEFT JOIN `order__item` \n", + " GROUP BY order_number) as q\n", + "GROUP BY customer_id\n", + "ORDER BY money_spent DESC\n", + "LIMIT 10\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "-- customers and the total $$$ spent\n", + "\n", + "SELECT customer_id, customer_last_name, \n", + " IFNULL(sum(quoted_price * quantity_ordered), 0) money_spent\n", + "FROM customer NATURAL LEFT JOIN `order` NATURAL JOIN `order__item`\n", + "GROUP BY customer_id\n", + "ORDER BY money_spent DESC\n", + "LIMIT 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Summary of principles \n", + "1. Without a `GROUP BY`, aggregation functions collapse the table into a single row.\n", + "2. With `GROUP BY`, the grouping attributes become the new primary key of the result. \n", + "3. Do not mix aggregated and non-aggregated values in the result with or without a `GROUP BY`.\n", + "4. `HAVING` plays the same role as the `WHERE` clause in a nesting outer query so it can use the output of the aggregation functions.\n", + "5. `LEFT JOIN` is often follwed with a `GROUP BY` by the primary key attributes of the left table. In this scenario the entities in the right table are aggregated for each matching row in the left table.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Chapter 12 (total aggregation -- no grouping)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Problem 1. \n", + "“How many customers do we have in the state of California?”\n", + "\n", + "Viescas, John L.. SQL Queries for Mere Mortals (p. 460). Pearson Education. Kindle Edition. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.U().aggr(sales.Customer() & 'customer_state=\"CA\"', n='count(*)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT count(*) as n FROM customer WHERE customer_state=\"CA\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "“What is the average retail price of a mountain bike?” \n", + "\n", + "Viescas, John L.. SQL Queries for Mere Mortals (p. 467). Pearson Education. Kindle Edition. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "“What was the date of our most recent order?”\n", + "\n", + "Viescas, John L.. SQL Queries for Mere Mortals (p. 467). Pearson Education. Kindle Edition. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "SELECT order_number, order_date as latest_order\n", + "FROM `order`\n", + "ORDER BY latest_order DESC\n", + "LIMIT 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT max(order_date) as last_date \n", + "FROM `order`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "-- When was the last order to a customer in California\n", + "\n", + "SELECT max(order_date) as last_date\n", + "FROM `order`\n", + "WHERE customer_id in \n", + "(SELECT customer_id FROM customer WHERE customer_state=\"WA\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql \n", + "SELECT max(order_date) as last_date\n", + "FROM `order` NATURAL JOIN customer\n", + "WHERE customer_state=\"WA\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.U().aggr(sales.Order * sales.Customer & 'customer_state=\"WA\"', \n", + " last_date='max(order_date)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Chapter 13 (aggregation with grouping)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "“Display for each product the product name and the total sales.”\n", + "\n", + "Viescas, John L.. SQL Queries for Mere Mortals (p. 490). Pearson Education. Kindle Edition. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework --- Due Nov 12\n", + "\n", + "## Chapter 12" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 1 (Sales):** Show the total amount of order number 8.\n", + " \n", + " Answer $1492.60" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Chapter 13" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 3 (Sales):** List vendors along with the average number of days they take to deliver the order.\n", + " \n", + " Answer 10 rows." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 4 (Sales):** List vendors along with the number of products each sells.\n", + " \n", + " Answer 10 rows." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Chapter 14\n", + "\n", + "**Problem 6 (Sales):** Count the orders that only have one product\n", + " \n", + " 1 row" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Aggregations in Datajoint" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.Schema('shared_sales')\n", + "schema.spawn_missing_classes()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Customer.aggr(Order, n='count(order_number)', \n", + " duration='datediff(max(order_date), min(order_date))') & 'n>30'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# show total amount spent by customer\n", + "\n", + "Customer.aggr(Order * Order.Item, \n", + " spent='sum(quantity_ordered * quoted_price)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Order.Item()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.U('customer_state').aggr(Customer, n='count(customer_id)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Customer()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Challenge: Show all the triplets of products that appear together on at least 100 unique orders" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "P1 = sales.Order.Item.proj(p1 = 'product_number')\n", + "P2 = sales.Order.Item.proj(p2 = 'product_number')\n", + "P3 = sales.Order.Item.proj(p3 = 'product_number')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "triplets = P1 * P2 * P3 & 'p1 < p2' & 'p2 < p3'\n", + "triplets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.U('p1', 'p2', 'p3').aggr(triplets, n='count(p1)') & 'n>=100'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "use shared_sales" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT order_number, \n", + " i1.product_number AS p1, \n", + " i2.product_number AS p2, \n", + " i3.product_number AS p3,\n", + " count(*) AS n\n", + "FROM order__item AS i1 JOIN order__item AS i2 USING (order_number) \n", + " JOIN order__item AS i3 USING (order_number)\n", + "WHERE i1.product_number < i2.product_number \n", + " AND i2.product_number < i3.product_number\n", + "GROUP BY p1, p2, p3\n", + "HAVING n>=100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Challenge**: Find the most common list of products on an order (Hint: The same list of 8 products is found on 23 orders. You may find the GROUP_CONCAT function helpful. Note that it has an ORDER_BY option)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.U('item_list').aggr(\n", + "sales.Order.aggr(\n", + " sales.Order.Item, \n", + " item_list = 'GROUP_CONCAT(product_number ORDER BY product_number)'),\n", + " n='count(item_list)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT order_number, GROUP_CONCAT(product_number ORDER BY product_number) item_list\n", + "FROM `order` NATURAL JOIN order__item\n", + "GROUP BY order_number" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "SELECT item_list, count(*) as n\n", + "FROM (SELECT order_number, \n", + " GROUP_CONCAT(product_number ORDER BY product_number) item_list\n", + "FROM `order` NATURAL JOIN order__item\n", + "GROUP BY order_number) as q\n", + "GROUP BY item_list\n", + "ORDER BY n DESC\n", + "LIMIT 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "benv", + "language": "python", + "name": "benv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/Groups.ipynb b/db-course/Groups.ipynb new file mode 100644 index 0000000..0531ae2 --- /dev/null +++ b/db-course/Groups.ipynb @@ -0,0 +1,1221 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8f11b2e4", + "metadata": {}, + "source": [ + "# Groupings \n", + "\n", + "This notebook designs the schema `shared_projects` that specifies how teams are grouped for projects." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b23f2a78", + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5ac109bb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connecting dimitri@db.ust-db.link:3306\n" + ] + } + ], + "source": [ + "schema = dj.schema(\"shared_projects\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "3a4ee16d", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " username : varchar(12)\n", + " ---\n", + " first_name : varchar(30)\n", + " last_name : varchar(30)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f7863327", + "metadata": {}, + "outputs": [], + "source": [ + "# Insert student names from students.csv\n", + "with open('students.csv') as f:\n", + " for line in f:\n", + " fields = line.split(',')\n", + " Student.insert1(dict(\n", + " last_name=fields[0].strip(),\n", + " first_name=fields[1].strip(),\n", + " username=fields[2].strip()), skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1036bfa5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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username

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first_name

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last_name

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abellcCreed WillsAbell
antonieElton Jose CarlosAntonio
byrnegGarrick T.Byrne
fuquendDanielaFuquene
gallegjjJuan JGallegos
hajdekdDaliborHajdek
hidalgddDiana D.Hidalgo
kopinssSebastianKopinsky
llewis1LareishaLewis
lrharrisLacey RHarris
mhinesMichaelHines
shussaiSyed KamranHussain
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...

\n", + "

Total: 15

\n", + " " + ], + "text/plain": [ + "*username first_name last_name \n", + "+----------+ +------------+ +-----------+\n", + "abellc Creed Wills Abell \n", + "antonie Elton Jose Car Antonio \n", + "byrneg Garrick T. Byrne \n", + "fuquend Daniela Fuquene \n", + "gallegjj Juan J Gallegos \n", + "hajdekd Dalibor Hajdek \n", + "hidalgdd Diana D. Hidalgo \n", + "kopinss Sebastian Kopinsky \n", + "llewis1 Lareisha Lewis \n", + "lrharris Lacey R Harris \n", + "mhines Michael Hines \n", + "shussai Syed Kamran Hussain \n", + " ...\n", + " (Total: 15)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Student()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "54c99238", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Project(dj.Lookup):\n", + " definition = \"\"\"\n", + " project_number : int\n", + " ---\n", + " project_name : varchar(300)\n", + " due_date : date\n", + " \"\"\"\n", + " \n", + " contents = [\n", + " (4, \"Hotel database design\", \"2021-10-05\"),\n", + " (6, \"Join Queries\", \"2021-11-03\"),\n", + " (7, \"Aggregation Queries\", \"2021-11-10\"),\n", + " (8, \"Query Review\", \"2021-11-17\"),\n", + " (9, \"Final Project\", \"2021-12-12\")\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "1fa6843c", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class GroupAssignment(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Project\n", + " -> Student\n", + " ---\n", + " group_id : int\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "3424eb13", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "`shared_projects`.`final__student`\n", + "\n", + "`shared_projects`.`final__student`\n", + "\n", + "\n", + "\n", + "`shared_projects`.`final`\n", + "\n", + "`shared_projects`.`final`\n", + "\n", + "\n", + "\n", + "`shared_projects`.`final`->`shared_projects`.`final__student`\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->`shared_projects`.`final__student`\n", + "\n", + "\n", + "\n", + "\n", + "GroupAssignment\n", + "\n", + "\n", + "GroupAssignment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->GroupAssignment\n", + "\n", + "\n", + "\n", + "\n", + "Project\n", + "\n", + "\n", + "Project\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Project->GroupAssignment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0ad34dda", + "metadata": {}, + "outputs": [], + "source": [ + "import itertools\n", + "\n", + "# Assign Project 4 groupings\n", + "for k, r in zip(Student.fetch('KEY'), itertools.cycle(range(5))):\n", + " GroupAssignment.insert1(dict(k, project_number=4, group_id=r), skip_duplicates=True)\n", + " \n", + "# Assign Project 6 groupings\n", + "students = iter(Student.fetch('KEY'))\n", + "for group_id in range(5):\n", + " for _ in range(3):\n", + " GroupAssignment.insert1(dict(next(students), project_number=6, group_id=group_id), \n", + " skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "754c1b00", + "metadata": {}, + "outputs": [], + "source": [ + "dj.config['display.limit'] = 15" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "fc174dbd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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project_number

\n", + " \n", + "
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username

\n", + " \n", + "
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group_id

\n", + " \n", + "
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project_name

\n", + " \n", + "
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due_date

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first_name

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last_name

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6velasqya4Join Queries2021-11-03Yeison AndresVelasquez
6vnguyen84Join Queries2021-11-03VietNguyen
6yzhang34Join Queries2021-11-03DoraZhang
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*project_numbe *username group_id project_name due_date first_name last_name \n", + "+------------+ +----------+ +----------+ +------------+ +------------+ +------------+ +-----------+\n", + "6 velasqya 4 Join Queries 2021-11-03 Yeison Andres Velasquez \n", + "6 vnguyen8 4 Join Queries 2021-11-03 Viet Nguyen \n", + "6 yzhang3 4 Join Queries 2021-11-03 Dora Zhang \n", + " (Total: 3)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "GroupAssignment * Project * Student & 'project_number=6' & 'group_id=4'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a4e3268", + "metadata": {}, + "outputs": [], + "source": [ + "for r in GroupAssignment * Project & {'project_number': 4}:\n", + " print(\"GRANT SELECT, INSERT, UPDATE, DELETE, CREATE,\" \n", + " \"DROP, REFERENCES, INDEX, ALTER, CREATE VIEW,\"\n", + " \"SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE \" \n", + " \"ON `hw{project_number}_team{group_id}\\_%`.* TO '{username}'@'%';\".format(**r))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aa84e2b8", + "metadata": {}, + "outputs": [], + "source": [ + "GroupAssignment()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "946a3804", + "metadata": {}, + "outputs": [], + "source": [ + "GroupAssignment.fetch('KEY')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff993315", + "metadata": {}, + "outputs": [], + "source": [ + "# student triplets that have been in the same group\n", + "\n", + "s1 = Student.proj(u1='username')\n", + "s2 = Student.proj(u2='username')\n", + "s3 = Student.proj(u3='username')\n", + "\n", + "\n", + "g1 = (GroupAssignment * dj.U('group_id')).proj(u1='username') \n", + "g2 = (GroupAssignment * dj.U('group_id')).proj(u2='username')\n", + "g3 = (GroupAssignment * dj.U('group_id')).proj(u3='username')\n", + "\n", + "order = 'u1 < u2 and u2 < u3'\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cc3f4e6b", + "metadata": {}, + "outputs": [], + "source": [ + "s1 * s2 * s3 & 'u1 < u2' & 'u2 < u3'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0859fc38", + "metadata": {}, + "outputs": [], + "source": [ + "dj.config['display.limit'] = 25" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "764274c8", + "metadata": {}, + "outputs": [], + "source": [ + "g1 * g2 * g3 & order & '\"hidalgdd\" in (u1, u2, u3)'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e1e41df1", + "metadata": {}, + "outputs": [], + "source": [ + "g1 * g2 * g3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "022aeed3", + "metadata": {}, + "outputs": [], + "source": [ + "(GroupAssignment & 'project_number = 9').delete()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e07deedd", + "metadata": {}, + "outputs": [], + "source": [ + "Student()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "fd904e5a", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Final(dj.Manual):\n", + " definition = \"\"\"\n", + " final : varchar(18)\n", + " \"\"\"\n", + " \n", + " class Student(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " -> Student\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "eeb87732", + "metadata": {}, + "outputs": [], + "source": [ + "Final.insert(\n", + " zip((\"magnificents\", \"black_squares\", \n", + " \"not_remote\", \"future_soldiers\")),\n", + " skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "e89a3a74", + "metadata": {}, + "outputs": [], + "source": [ + "Final.Student.insert((\n", + " (\"black_squares\", \"mhines\"),\n", + " (\"black_squares\", \"fuquend\"),\n", + " (\"black_squares\", \"llewis1\"),\n", + " (\"magnificents\", \"hajdekd\"),\n", + " (\"magnificents\", \"byrneg\"),\n", + " (\"magnificents\", \"hidalgdd\"),\n", + " (\"magnificents\", \"lrharris\"),\n", + " (\"not_remote\", \"gallegjj\"),\n", + " (\"not_remote\", \"yzhang3\"),\n", + " (\"not_remote\", \"shussai\"),\n", + " (\"not_remote\", \"abellc\"),\n", + " (\"future_soldiers\", \"antonie\"),\n", + " (\"future_soldiers\", \"kopinss\"),\n", + " (\"future_soldiers\", \"velasqya\")\n", + "), skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "61d5bedc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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final

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username

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name

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black_squaresfuquendDaniela Fuquene
black_squaresllewis1Lareisha Lewis
black_squaresmhinesMichael Hines
future_soldiersantonieElton Jose Carlos Antonio
future_soldierskopinssSebastian Kopinsky
future_soldiersvelasqyaYeison Andres Velasquez
magnificentsbyrnegGarrick T. Byrne
magnificentshajdekdDalibor Hajdek
magnificentshidalgddDiana D. Hidalgo
magnificentslrharrisLacey R Harris
not_remoteabellcCreed Wills Abell
not_remotegallegjjJuan J Gallegos
not_remoteshussaiSyed Kamran Hussain
not_remoteyzhang3Dora Zhang
\n", + " \n", + "

Total: 14

\n", + " " + ], + "text/plain": [ + "*final *username name \n", + "+------------+ +----------+ +------------+\n", + "black_squares fuquend Daniela Fuquen\n", + "black_squares llewis1 Lareisha Lewis\n", + "black_squares mhines Michael Hines \n", + "future_soldier antonie Elton Jose Car\n", + "future_soldier kopinss Sebastian Kopi\n", + "future_soldier velasqya Yeison Andres \n", + "magnificents byrneg Garrick T. Byr\n", + "magnificents hajdekd Dalibor Hajdek\n", + "magnificents hidalgdd Diana D. Hidal\n", + "magnificents lrharris Lacey R Harris\n", + "not_remote abellc Creed Wills Ab\n", + "not_remote gallegjj Juan J Gallego\n", + "not_remote shussai Syed Kamran Hu\n", + "not_remote yzhang3 Dora Zhang \n", + " (Total: 14)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.config['display.limit'] = 15\n", + "Final.Student() * Student.proj(name='concat(first_name, \" \", last_name)')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e4495471", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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username

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first_name

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last_name

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vnguyen8VietNguyen
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Total: 1

\n", + " " + ], + "text/plain": [ + "*username first_name last_name \n", + "+----------+ +------------+ +-----------+\n", + "vnguyen8 Viet Nguyen \n", + " (Total: 1)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "unassigned = Student - Final.Student\n", + "unassigned" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "6282c836", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `black_squares\\_%`.* TO 'fuquend'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `black_squares\\_%`.* TO 'llewis1'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `black_squares\\_%`.* TO 'mhines'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `future_soldiers\\_%`.* TO 'antonie'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `future_soldiers\\_%`.* TO 'kopinss'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `future_soldiers\\_%`.* TO 'velasqya'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'byrneg'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'hajdekd'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'hidalgdd'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'lrharris'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'abellc'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'gallegjj'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'shussai'@'%';\n", + "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'yzhang3'@'%';\n" + ] + } + ], + "source": [ + "for q in Final.Student():\n", + " print(\"GRANT SELECT, INSERT, UPDATE, DELETE, CREATE,\"\n", + " \" DROP, REFERENCES, INDEX, ALTER, CREATE VIEW,\" \n", + " \" SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE\"\n", + " \" ON `{final}\\_%`.* TO '{username}'@'%';\".format(**q))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c568f0c", + "metadata": {}, + "outputs": [], + "source": [ + "for name, password in creds:\n", + " print(f\"GRANT SELECT, INSERT, UPDATE, DELETE, \"\n", + " f\"CREATE, DROP, REFERENCES, INDEX, ALTER, \"\n", + " f\"CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE \"\n", + " f\"ON `{name}\\_%`.* TO '{name}'@'%';\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "58490914", + "metadata": {}, + "outputs": [], + "source": [ + "# make new teams that have never been together\n", + "\n", + "assigned = set()\n", + "project = 9\n", + "group = 0\n", + "for u1, u2, u3, n in zip(*teammates.fetch('u1', 'u2', 'u3', 'n', order_by='n')):\n", + " if not assigned & {u1, u2, u3}:\n", + " try:\n", + " GroupAssignment.insert(\n", + " dict(project_number=project, group_id=group, username=user)\n", + " for user in (u1, u2, u3))\n", + " except dj.errors.DuplicateError:\n", + " pass\n", + " else:\n", + " group += 1\n", + " assigned.update({u1, u2, u3})\n", + " print(u1, u2, u3)\n", + " \n", + " \n", + "assert len(assigned)==len(Student()), 'some students have not been assigned'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1da4ab6d", + "metadata": {}, + "outputs": [], + "source": [ + "GroupAssignment & 'project_number=9'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b36f937", + "metadata": {}, + "outputs": [], + "source": [ + "(GroupAssignment() & 'project_number=7').delete()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ee516282", + "metadata": {}, + "outputs": [], + "source": [ + "GroupAssignment() & 'project_number=7'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "06300e18", + "metadata": {}, + "outputs": [], + "source": [ + "teammates & 'u1 < u2' & 'u2 < u3'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09c242c5", + "metadata": {}, + "outputs": [], + "source": [ + "GroupAssignment() & dj.top(3, order_by='')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7308d089", + "metadata": {}, + "outputs": [], + "source": [ + "teammates & order" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2195bf50", + "metadata": {}, + "outputs": [], + "source": [ + "teammates & order & 'u1=\"abellc\"'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e9b231b", + "metadata": {}, + "outputs": [], + "source": [ + "GroupAssignment() & 'username=\"abellc\"'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "429a6ffa", + "metadata": {}, + "outputs": [], + "source": [ + "Student()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "acf2a610", + "metadata": {}, + "outputs": [], + "source": [ + "teammates & order" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6a9da709", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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project_number

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group_id

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8abellc2
8velasqya2
8vnguyen82
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Total: 3

\n", + " " + ], + "text/plain": [ + "*project_numbe *username group_id \n", + "+------------+ +----------+ +----------+\n", + "8 abellc 2 \n", + "8 velasqya 2 \n", + "8 vnguyen8 2 \n", + " (Total: 3)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "GroupAssignment() & 'project_number=8' & 'group_id=2'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "abe681d9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/db-course/Hotel.ipynb b/db-course/Hotel.ipynb new file mode 100644 index 0000000..11ff355 --- /dev/null +++ b/db-course/Hotel.ipynb @@ -0,0 +1,2340 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6e26075b", + "metadata": {}, + "source": [ + "# Hotel Database\n", + "## Assignment\n", + "\n", + "Design, populate, and query a database for a hotel reservation system with the following business rules:\n", + "\n", + "1. The hotel has a number of rooms of two types: Deluxe and Suite\n", + "2. For every night, some rooms are made available for reservation for a specific price.\n", + "3. A guest can make a reservation for an avavilable room for one night. The reservation must include credit card payment info. At most one reservation can be made per night per room.\n", + "4. A guest can check into a room that has been reserved. An attempt to check in without a reservation will generate an error.\n", + "5. A guest can check out only after checking in. An attempt to check out multiple times or check out without checking in will generate an error.\n", + "\n", + "Your Python code should provide the following:\n", + "\n", + "1. A section to create the tables. The design must be in 3rd normal form following the conventions discussed in class and enforcing the business rules above.\n", + "\n", + "2. Provide code to populate rooms and room availability with prices.\n", + "\n", + "3. The function `reserve_room(room, date, guest_name, credit_card)` to make a reservation. A script that populates at least 300 reservations (e.g. use `faker`)\n", + "\n", + "4. The functions `checkin(room, date)` and `checkout(room, date)` to check guests in and out. Write a script that invokes `checkin` and `checkout` for a buncha guests. Demonstrate that that the functions enforces the rules of the business.\n", + "\n", + "5. Write a query to list all guests who have stayed in a given room in 2021.\n", + "\n", + "6. Write a query to list all dates on which a specific guest stayed at the hotel.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "33e46762", + "metadata": {}, + "source": [ + "# Define the database" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "fc703fb8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2022-11-01 18:06:42,412][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", + "[2022-11-01 18:06:42,805][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "schema = dj.Schema('shared_hotel')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "62d97e04", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Room(dj.Manual):\n", + " definition = \"\"\"\n", + " room : int\n", + " --- \n", + " room_type : enum('Deluxe', 'Suite')\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "280e7440", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class RoomAvailable(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Room\n", + " date : date \n", + " ---\n", + " price : decimal(6, 2)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "dc952e39", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Guest(dj.Manual):\n", + " definition = \"\"\"\n", + " guest_id : int unsigned\n", + " --- \n", + " guest_name : varchar(60)\n", + " index(guest_name)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "14929f5b", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Reservation(dj.Manual):\n", + " definition = \"\"\"\n", + " -> RoomAvailable\n", + " ---\n", + " -> Guest\n", + " credit_card : varchar(80)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "61f03f74", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class CheckIn(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Reservation\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c163c97c", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class CheckOut(dj.Manual):\n", + " definition = \"\"\"\n", + " -> CheckIn\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c98936a8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable->Reservation\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn->CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest->Reservation\n", + "\n", + "\n", + "\n", + "\n", + "Reservation->CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Room->RoomAvailable\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "id": "3bab6ec9", + "metadata": {}, + "source": [ + "# Populate Room Availability" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "64060872", + "metadata": {}, + "outputs": [], + "source": [ + "import faker\n", + "import random\n", + "import datetime\n", + "import tqdm\n", + "fake = faker.Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "281c8ca7", + "metadata": {}, + "outputs": [], + "source": [ + "# populate rooms\n", + "Room.insert((i, \"Deluxe\" if i%2 else \"Suite\") for i in range(80))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "86bc4436", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 45/45 [00:03<00:00, 11.92it/s]\n" + ] + } + ], + "source": [ + "# Populate Room availability: 45 days starting on start_date\n", + "start_date = datetime.date(2021, 10, 1)\n", + "days = 45\n", + "\n", + "for day in tqdm.tqdm(range(days)):\n", + " price = random.randint(40, 350) \n", + " RoomAvailable.insert(\n", + " dict(key, \n", + " date=start_date + datetime.timedelta(days=day), \n", + " price=price) for key in Room.fetch('KEY'))\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "4deda107", + "metadata": {}, + "source": [ + "# Functions " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "48470620", + "metadata": {}, + "outputs": [], + "source": [ + "class HotelException(Exception): pass\n", + "class RoomUnavailable(HotelException): pass\n", + "class RoomAlreadyReserved(HotelException): pass\n", + "class AlreadyChecked(HotelException): pass\n", + "class NoReservation(HotelException): pass\n", + "class NotCheckedIn(HotelException): pass" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "5603309c", + "metadata": {}, + "outputs": [], + "source": [ + "def reserve_room(room, date, guest_name, credit_card):\n", + " # lookup guest by name\n", + " keys = (Guest & {'guest_name': guest_name}).fetch('KEY')\n", + " \n", + " if keys:\n", + " # if multiple found, use the first, for example\n", + " key = keys[0] \n", + " else:\n", + " # if not registered before, create a new guest id\n", + " key = dict(guest_id=random.randint(0, 2**32-1))\n", + " Guest.insert1(dict(key, guest_name=guest_name))\n", + " \n", + " try:\n", + " Reservation.insert1(\n", + " dict(key, room=room, date=date, credit_card=credit_card))\n", + " except dj.errors.DuplicateError:\n", + " raise RoomAlreadyReserved(room, date.isoformat()) from None\n", + " except dj.errors.IntegrityError:\n", + " raise RoomUnavailable(room, date.isoformat()) from None" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "fd3b9e30", + "metadata": {}, + "outputs": [], + "source": [ + "def check_in(room, date):\n", + " try:\n", + " CheckIn.insert1(dict(room=room, date=date))\n", + " except dj.errors.DuplicateError:\n", + " raise AlreadyChecked(room, date.isoformat()) from None\n", + " except dj.errors.IntegrityError:\n", + " raise NoReservation(room, date.isoformat()) from None" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "09e340e2", + "metadata": {}, + "outputs": [], + "source": [ + "def check_out(room, date):\n", + " try:\n", + " CheckOut.insert1(dict(room=room, date=date))\n", + " except dj.errors.DuplicateError:\n", + " raise AlreadyChecked(room, date.isoformat()) from None\n", + " except dj.errors.IntegrityError:\n", + " raise NotCheckedIn(room, date.isoformat()) from None" + ] + }, + { + "cell_type": "markdown", + "id": "60740817", + "metadata": {}, + "source": [ + "# Operations" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8dbad565", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 8%|████████████▉ | 8/100 [00:06<01:16, 1.21it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomUnavailable(80, '2021-10-01')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + " 9%|██████████████▌ | 9/100 [00:07<01:14, 1.22it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(51, '2021-11-04')\n" + ] + }, + { + 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"100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [01:26<00:00, 1.16it/s]\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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room

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date

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guest_id

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credit_card

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02021-10-188458267404528881031739606163 04/28 5583
02021-10-248691985124772595821214195133 12/26 759
02021-11-021658199830391204843665 11/28 632
02021-11-051202320264348858747347957 09/29 279
02021-11-085229636244045810724428447888 11/23 135
12021-10-025769882726515232227314782 05/25 632
12021-10-035229636244045810724428447888 11/23 135
12021-10-05123131142430570944113766 04/31 962
12021-10-1437607593813558142798582912 04/27 188
12021-10-21267272456011313298800641 07/23 421
12021-10-271202320264348858747347957 09/29 279
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Total: 928

\n", + " " + ], + "text/plain": [ + "*room *date guest_id credit_card \n", + "+------+ +------------+ +------------+ +------------+\n", + "0 2021-10-14 2467043059 24536735418413\n", + "0 2021-10-18 845826740 45288810317396\n", + "0 2021-10-24 869198512 47725958212141\n", + "0 2021-11-02 16581998 30391204843665\n", + "0 2021-11-05 120232026 43488587473479\n", + "0 2021-11-08 522963624 40458107244284\n", + "1 2021-10-02 576988272 65152322273147\n", + "1 2021-10-03 522963624 40458107244284\n", + "1 2021-10-05 1231311424 30570944113766\n", + "1 2021-10-14 3760759381 35581427985829\n", + "1 2021-10-21 26727245 60113132988006\n", + "1 2021-10-27 120232026 43488587473479\n", + " ...\n", + " (Total: 928)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# make a bunch of random reservations\n", + "\n", + "number_of_guests = 100\n", + "max_nights = 20\n", + "\n", + "for i in tqdm.tqdm(range(number_of_guests)):\n", + " guest = fake.name()\n", + " credit_card=' '.join((fake.credit_card_number(), \n", + " fake.credit_card_expire(), \n", + " fake.credit_card_security_code()))\n", + " \n", + " for j in range(random.randint(1, max_nights)):\n", + " date = fake.date_between_dates(start_date, start_date+datetime.timedelta(days=45))\n", + " room = random.randint(0, 80)\n", + " try:\n", + " reserve_room(room, date, guest, credit_card)\n", + " except HotelException as e:\n", + " print(repr(e))\n", + " \n", + "# show successful reservations\n", + "Reservation()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "dbc10353", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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guest_id

\n", + " \n", + "
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guest_name

\n", + " \n", + "
1662864156Adam Schwartz
869198512Alexandra Sampson
3953620611Alexis Arias
1751304781Amy Murphy
576988272Amy Ray
500507429Andrew Barnes
2712870417Arthur Shepherd
120232026Ashley Williams
114175943Barbara Grant
2549454580Becky Harrington
1642873097Brandon Cook
26727245Brandon Villarreal
\n", + "

...

\n", + "

Total: 101

\n", + " " + ], + "text/plain": [ + "*guest_id guest_name \n", + "+------------+ +------------+\n", + "1662864156 Adam Schwartz \n", + "869198512 Alexandra Samp\n", + "3953620611 Alexis Arias \n", + "1751304781 Amy Murphy \n", + "576988272 Amy Ray \n", + "500507429 Andrew Barnes \n", + "2712870417 Arthur Shepher\n", + "120232026 Ashley William\n", + "114175943 Barbara Grant \n", + "2549454580 Becky Harringt\n", + "1642873097 Brandon Cook \n", + "26727245 Brandon Villar\n", + " ...\n", + " (Total: 101)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Guest()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "81a75c55", + "metadata": {}, + "outputs": [ + { + "ename": "NoReservation", + "evalue": "(2, '2021-10-02')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNoReservation\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [20]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Try check in\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcheck_in\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2021\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "Input \u001b[0;32mIn [16]\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NoReservation(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", + "\u001b[0;31mNoReservation\u001b[0m: (2, '2021-10-02')" + ] + } + ], + "source": [ + "# Try check in\n", + "\n", + "check_in(2, datetime.date(2021, 10, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "8efc7fac", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 835/835 [00:34<00:00, 24.37it/s]\n" + ] + } + ], + "source": [ + "# checkin a bunch of people\n", + "checkins = random.sample(Reservation().fetch('KEY'), k=int(0.9*len(Reservation())))\n", + "for r in tqdm.tqdm(checkins):\n", + " check_in(**r)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec862447", + "metadata": {}, + "outputs": [], + "source": [ + "CheckIn()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "2faabb54", + "metadata": {}, + "outputs": [ + { + "ename": "AlreadyChecked", + "evalue": "(26, '2021-10-31')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAlreadyChecked\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [22]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Try duplicate checkin\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mcheck_in\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mcheckins\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "Input \u001b[0;32mIn [16]\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 3\u001b[0m CheckIn\u001b[38;5;241m.\u001b[39minsert1(\u001b[38;5;28mdict\u001b[39m(room\u001b[38;5;241m=\u001b[39mroom, date\u001b[38;5;241m=\u001b[39mdate))\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mDuplicateError:\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NoReservation(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", + "\u001b[0;31mAlreadyChecked\u001b[0m: (26, '2021-10-31')" + ] + } + ], + "source": [ + "# Try duplicate checkin\n", + "check_in(**checkins[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "5236b125", + "metadata": {}, + "outputs": [ + { + "ename": "NotCheckedIn", + "evalue": "(2, '2021-10-02')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNotCheckedIn\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [23]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Try checkout\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcheck_out\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2021\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "Input \u001b[0;32mIn [17]\u001b[0m, in \u001b[0;36mcheck_out\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NotCheckedIn(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", + "\u001b[0;31mNotCheckedIn\u001b[0m: (2, '2021-10-02')" + ] + } + ], + "source": [ + "# Try checkout\n", + "\n", + "check_out(2, datetime.date(2021, 10, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "85a3a740", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 751/751 [00:30<00:00, 24.70it/s]\n" + ] + } + ], + "source": [ + "# checkout a bunch of people\n", + "checkouts = random.sample(CheckIn().fetch('KEY'), k=int(0.9*len(CheckIn())))\n", + "for r in tqdm.tqdm(checkouts):\n", + " check_out(**r)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "5151ae4b", + "metadata": {}, + "outputs": [ + { + "ename": "AlreadyChecked", + "evalue": "(29, '2021-10-03')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAlreadyChecked\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [25]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# try duplicate checkout\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcheck_out\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mcheckouts\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "Input \u001b[0;32mIn [17]\u001b[0m, in \u001b[0;36mcheck_out\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 3\u001b[0m CheckOut\u001b[38;5;241m.\u001b[39minsert1(\u001b[38;5;28mdict\u001b[39m(room\u001b[38;5;241m=\u001b[39mroom, date\u001b[38;5;241m=\u001b[39mdate))\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mDuplicateError:\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NotCheckedIn(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", + "\u001b[0;31mAlreadyChecked\u001b[0m: (29, '2021-10-03')" + ] + } + ], + "source": [ + "# try duplicate checkout\n", + "\n", + "check_out(**checkouts[0])" + ] + }, + { + "cell_type": "markdown", + "id": "4ebd1fd9", + "metadata": {}, + "source": [ + "# Queries \n", + "\n", + "## Query 1: List all guests who have stayed in room 1" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "fa181a79", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

guest_id

\n", + " \n", + "
\n", + "

guest_name

\n", + " \n", + "
576988272Amy Ray
522963624Christopher Smith
1231311424Dylan Vincent
3760759381Jamie Atkinson
26727245Brandon Villarreal
120232026Ashley Williams
2783887783Emily Caldwell
290179231Judy Adkins
\n", + " \n", + "

Total: 8

\n", + " " + ], + "text/plain": [ + "*guest_id guest_name \n", + "+------------+ +------------+\n", + "576988272 Amy Ray \n", + "522963624 Christopher Sm\n", + "1231311424 Dylan Vincent \n", + "3760759381 Jamie Atkinson\n", + "26727245 Brandon Villar\n", + "120232026 Ashley William\n", + "2783887783 Emily Caldwell\n", + "290179231 Judy Adkins \n", + " (Total: 8)" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Guest & (Reservation & (CheckIn & 'room=1'))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "e9891efc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

guest_id

\n", + " \n", + "
\n", + "

guest_name

\n", + " \n", + "
576988272Amy Ray
522963624Christopher Smith
1231311424Dylan Vincent
3760759381Jamie Atkinson
26727245Brandon Villarreal
120232026Ashley Williams
2783887783Emily Caldwell
290179231Judy Adkins
\n", + " \n", + "

Total: 8

\n", + " " + ], + "text/plain": [ + "*guest_id guest_name \n", + "+------------+ +------------+\n", + "576988272 Amy Ray \n", + "522963624 Christopher Sm\n", + "1231311424 Dylan Vincent \n", + "3760759381 Jamie Atkinson\n", + "26727245 Brandon Villar\n", + "120232026 Ashley William\n", + "2783887783 Emily Caldwell\n", + "290179231 Judy Adkins \n", + " (Total: 8)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Guest & (Reservation * CheckIn & 'room=1')" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "d24bccfb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'SELECT `guest_id`,`guest_name` FROM `shared_hotel`.`guest` WHERE ((`guest_id`) in (SELECT `guest_id` FROM `shared_hotel`.`reservation` NATURAL JOIN `shared_hotel`.`check_in` WHERE (room=1)))'" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_.make_sql()" + ] + }, + { + "cell_type": "markdown", + "id": "d281a8f4", + "metadata": {}, + "source": [ + "## Query 2: List all nights when a guest stayed at a hotel" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "37156855", + "metadata": {}, + "outputs": [], + "source": [ + "# pick a guest\n", + "guest = random.choice(Guest().fetch('KEY'))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "f166cbe4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'guest_id': 522963624}" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "guest" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "63504e50", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

room

\n", + " \n", + "
\n", + "

date

\n", + " \n", + "
02021-11-08
12021-10-03
42021-10-04
112021-10-16
242021-10-08
362021-10-01
392021-10-22
542021-11-10
742021-10-12
742021-10-29
\n", + " \n", + "

Total: 10

\n", + " " + ], + "text/plain": [ + "*room *date \n", + "+------+ +------------+\n", + "0 2021-11-08 \n", + "1 2021-10-03 \n", + "4 2021-10-04 \n", + "11 2021-10-16 \n", + "24 2021-10-08 \n", + "36 2021-10-01 \n", + "39 2021-10-22 \n", + "54 2021-11-10 \n", + "74 2021-10-12 \n", + "74 2021-10-29 \n", + " (Total: 10)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Reservation * CheckIn & guest).proj()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6f8d93df", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "benv", + "language": "python", + "name": "benv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/db-course/Indexes.ipynb b/db-course/Indexes.ipynb new file mode 100644 index 0000000..0d80c80 --- /dev/null +++ b/db-course/Indexes.ipynb @@ -0,0 +1,1183 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Indexes\n", + "\n", + "Table indexes are data structures that allow fast lookups by an indexed attribute or combination of attributes.\n", + "\n", + "In DataJoint, indexes are created by one of the three mechanisms:\n", + "\n", + "1. Primary key \n", + "2. Foreign key \n", + "3. Explicitly defined indexes\n", + "\n", + "The first two mechanisms are obligatory. Every table has a primary key, which serves as an unique index. Therefore, restrictions by a primary key are very fast. Foreign keys create additional indexes unless a suitable index already exists." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's test this principle. Let's create a table with a 10,000 entries and compare lookup times:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2022-10-04 18:21:37,285][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", + "[2022-10-04 18:21:37,668][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proceed to delete entire schema `dimitri_indexes`? [yes, No]: yes\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "schema = dj.schema('dimitri_indexes')\n", + "schema.drop() # drop previous schema definition (if any) and create anew\n", + "schema = dj.schema('dimitri_indexes')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's say a mouse in the lab has a lab-specific ID but it also has a separate id issued by the animal facility." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Mouse(dj.Manual):\n", + " definition = \"\"\"\n", + " mouse_id : int # lab-specific ID\n", + " ---\n", + " tag_id : int # animal facility ID\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "def populate_mice(table, n=200_000):\n", + " \"\"\"insert a bunch of mice\"\"\"\n", + " table.insert(\n", + " ((random.randint(1,1000_000_000), random.randint(1,1000_000_000)) \n", + " for i in range(n)), skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "populate_mice(Mouse())" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

mouse_id

\n", + " lab-specific ID\n", + "
\n", + "

tag_id

\n", + " animal facility ID\n", + "
216940882878
3245388150272
3812732593055
12227984921897
13451899146841
19943990904474
33091159537843
42354182413700
56467407326699
60850286034489
62052827330832
64187967534575
\n", + "

...

\n", + "

Total: 199977

\n", + " " + ], + "text/plain": [ + "*mouse_id tag_id \n", + "+----------+ +-----------+\n", + "2169 40882878 \n", + "3245 388150272 \n", + "3812 732593055 \n", + "12227 984921897 \n", + "13451 899146841 \n", + "19943 990904474 \n", + "33091 159537843 \n", + "42354 182413700 \n", + "56467 407326699 \n", + "60850 286034489 \n", + "62052 827330832 \n", + "64187 967534575 \n", + " ...\n", + " (Total: 199977)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Mouse()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "37.4 ms ± 1.83 ms per loop (mean ± std. dev. of 3 runs, 6 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n6 -r3\n", + "\n", + "# efficient! Uses the primary key\n", + "(Mouse() & {'mouse_id': random.randint(0, 999_999)}).fetch()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "84.4 ms ± 11.8 ms per loop (mean ± std. dev. of 3 runs, 6 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n6 -r3\n", + "\n", + "# inefficient! Requires a full table scan\n", + "(Mouse() & {'tag_id': random.randint(0, 999_999)}).fetch()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The indexed searches are much faster!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To make searches faster on fields other than the primary key or a foreign key, you can add a secondary index explicitly. \n", + "\n", + "Regular indexes are declared as `index(attr1, ..., attrN)` on a separate line anywhere in the table declration (below the primary key divide). \n", + "\n", + "Indexes can be declared with unique constraint as `unique index (attr1, ..., attrN)`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's redeclare the table with a unique index on `tag_id`." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Mouse2(dj.Manual):\n", + " definition = \"\"\"\n", + " mouse_id : int # lab-specific ID\n", + " ---\n", + " tag_id : int # animal facility ID\n", + " unique index (tag_id)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "populate_mice(Mouse2())" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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mouse_id

\n", + " lab-specific ID\n", + "
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tag_id

\n", + " animal facility ID\n", + "
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41527814253746
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41427779376695
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...

\n", + "

Total: 199972

\n", + " " + ], + "text/plain": [ + "*mouse_id tag_id \n", + "+-----------+ +--------+\n", + "104267471 4179 \n", + "377708377 31911 \n", + "443869061 35317 \n", + "128843269 36413 \n", + "210025330 43358 \n", + "184517392 46214 \n", + "473829023 46327 \n", + "395488175 47271 \n", + "415278142 53746 \n", + "780855608 61784 \n", + "209041487 67300 \n", + "414277793 76695 \n", + " ...\n", + " (Total: 199972)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Mouse2()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now both types of searches are equally efficient!" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "36.9 ms ± 1.23 ms per loop (mean ± std. dev. of 3 runs, 6 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n6 -r3\n", + "\n", + "#efficient! Uses the primary key\n", + "(Mouse2() & {'mouse_id': random.randint(0, 999_999)}).fetch()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "36.4 ms ± 273 µs per loop (mean ± std. dev. of 3 runs, 6 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n6 -r3\n", + "\n", + "#efficient! Uses the seconary index on tag_id\n", + "(Mouse2() & {'tag_id': random.randint(0, 999_999)}).fetch()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's now imagine that rats in the `Rat` table are identified by the combination of lab the `lab_name` and `rat_id` in each lab:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Rat(dj.Manual):\n", + " definition = \"\"\"\n", + " lab_name : char(16) \n", + " rat_id : int unsigned # lab-specific ID\n", + " ---\n", + " date_of_birth = null : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "def populate_rats(table):\n", + " lab_names = (\"Cajal\", \"Kandel\", \"Moser\", \"Wiesel\")\n", + " for date_of_birth in (None, \"2019-10-01\", \n", + " \"2019-10-02\", \"2019-10-03\", \"2019-10-04\"):\n", + " table.insert((\n", + " (random.choice(lab_names), random.randint(1, 1_000_000), date_of_birth) \n", + " for i in range(100_000)), skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "populate_rats()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

lab_name

\n", + " \n", + "
\n", + "

rat_id

\n", + " lab-specific ID\n", + "
\n", + "

date_of_birth

\n", + " \n", + "
Cajal12019-10-03
Cajal172019-10-01
Cajal442019-10-04
Cajal562019-10-03
Cajal662019-10-01
Cajal692019-10-03
Cajal762019-10-01
Cajal93None
Cajal109None
Cajal1132019-10-04
Cajal144None
Cajal1622019-10-03
\n", + "

...

\n", + "

Total: 470097

\n", + " " + ], + "text/plain": [ + "*lab_name *rat_id date_of_birth \n", + "+----------+ +--------+ +------------+\n", + "Cajal 1 2019-10-03 \n", + "Cajal 17 2019-10-01 \n", + "Cajal 44 2019-10-04 \n", + "Cajal 56 2019-10-03 \n", + "Cajal 66 2019-10-01 \n", + "Cajal 69 2019-10-03 \n", + "Cajal 76 2019-10-01 \n", + "Cajal 93 None \n", + "Cajal 109 None \n", + "Cajal 113 2019-10-04 \n", + "Cajal 144 None \n", + "Cajal 162 2019-10-03 \n", + " ...\n", + " (Total: 470097)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Rat()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that dispite the fact that `rat_id` is in the index, search by `rat_id` alone are not helped by the index because it is not first in the index. This is similar to search for a word in a dictionary that orders words alphabetically. Searching by the first letters of a word is easy but searching by the last few letters of a word requires scanning the whole dictionary." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this table, the primary key is a unique index on the combination `(lab_id, rat_id)`. Therefore searches on these attributes or on `lab_id` alone are fast. But this index cannot help searches on `rat_id` alone:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "140 ms ± 32.1 ms per loop (mean ± std. dev. of 10 runs, 2 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n2 -r10\n", + "\n", + "# inefficient! Requires full table scan.\n", + "(Rat() & {'rat_id': 300}).fetch()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "36.7 ms ± 981 µs per loop (mean ± std. dev. of 10 runs, 2 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n2 -r10\n", + "\n", + "# efficient! Uses the primary key\n", + "(Rat() & {'rat_id': 300, 'lab_name': 'Cajal'}).fetch()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "127 ms ± 21 ms per loop (mean ± std. dev. of 10 runs, 2 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n2 -r10\n", + "\n", + "# inefficient! Requires a full table scan\n", + "len(Rat & {'rat_id': 500})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pattern searches in strings can benefit from an index when the starting characters are specified." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "298 ms ± 20 ms per loop (mean ± std. dev. of 2 runs, 2 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n2 -r2\n", + "\n", + "# efficient! Uses the primary key\n", + "len(Rat & 'lab_name LIKE \"Caj%\"')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "489 ms ± 127 ms per loop (mean ± std. dev. of 2 runs, 2 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n2 -r2\n", + "\n", + "# inefficient! requires a full table scan\n", + "len(Rat & 'lab_name LIKE \"%jal\"')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Similarly, searching by the date requires an inefficient full-table scan:" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "384 ms ± 67.9 ms per loop (mean ± std. dev. of 6 runs, 3 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n3 -r6\n", + "\n", + "len(Rat & 'date_of_birth > \"2019-10-02\"')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To speed up searches by the `rat_id` and `date_of_birth`, we can explicit indexes to `Rat`:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Rat2(dj.Manual):\n", + " definition = \"\"\"\n", + " lab_name : char(16) \n", + " rat_id : int unsigned # lab-specific ID\n", + " ---\n", + " date_of_birth = null : date\n", + "\n", + " index(rat_id)\n", + " index(date_of_birth)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "populate_rats(Rat2())" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "37.6 ms ± 2.64 ms per loop (mean ± std. dev. of 6 runs, 3 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n3 -r6\n", + "\n", + "# efficient! uses index on rat_id\n", + "(Rat2() & {'rat_id': 300}).fetch()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "262 ms ± 41.8 ms per loop (mean ± std. dev. of 2 runs, 2 loops each)\n" + ] + } + ], + "source": [ + "%%timeit -n2 -r2\n", + "\n", + "# efficient! uses index on date_of_birth\n", + "len(Rat2 & 'date_of_birth > \"2019-10-02\"')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Quiz: How many indexes does the table `Rat` have?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Rat.describe();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Answer\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Three: primary key, rat_id, date_of_birth" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Indexes in SQL" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import pymysql \n", + "\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "with open('cred.json') as f:\n", + " creds = json.load(f)\n", + "\n", + "connection_string = \"mysql://{user}:{password}@{host}\".format(**creds)\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql $connection_string" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n", + "(pymysql.err.ProgrammingError) (1007, \"Can't create database 'dimitri_indexes'; database exists\")\n", + "[SQL: create database dimitri_indexes]\n", + "(Background on this error at: https://sqlalche.me/e/14/f405)\n" + ] + } + ], + "source": [ + "%%sql\n", + "\n", + "create database dimitri_indexes" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n", + "5 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Tables_in_dimitri_indexes
mouse
mouse2
rat
rat2
~log
" + ], + "text/plain": [ + "[('mouse',), ('mouse2',), ('rat',), ('rat2',), ('~log',)]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SHOW TABLES in dimitri_indexes;" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n", + "(pymysql.err.OperationalError) (1050, \"Table 'mouse' already exists\")\n", + "[SQL: CREATE TABLE dimitri_indexes.mouse(\n", + "mouse_id int NOT NULL,\n", + "tag_id int NOT NULL,\n", + "primary key(mouse_id)\n", + ")]\n", + "(Background on this error at: https://sqlalche.me/e/14/e3q8)\n" + ] + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE dimitri_indexes.mouse(\n", + "mouse_id int NOT NULL,\n", + "tag_id int NOT NULL,\n", + "primary key(mouse_id)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "drop table dimitri_indexes.mouse" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE dimitri_indexes.mouse(\n", + "mouse_id int NOT NULL,\n", + "tag_id int NOT NULL,\n", + "primary key(mouse_id),\n", + "index (tag_id)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE UNIQUE INDEX mouse_idx ON dimitri_indexes.mouse (tag_id)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://dimitri:***@db.ust-data-sci.net\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "DROP INDEX mouse_idx ON dimitri_indexes.mouse;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "benv", + "language": "python", + "name": "benv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/PersonAccount.ipynb b/db-course/PersonAccount.ipynb new file mode 100644 index 0000000..06cb866 --- /dev/null +++ b/db-course/PersonAccount.ipynb @@ -0,0 +1,1656 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Relationships and default values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Agenda: \n", + "1. Modeling 1:1, 1:N, M:N relationships \n", + "2. Default values, NULLs, and autoincrement\n", + "3. UUIDs \n", + "4. Secondary unique keys" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2022-09-21 07:06:34,147][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", + "[2022-09-21 07:06:34,856][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + ] + } + ], + "source": [ + "schema = dj.Schema('dimitri_bank')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int unsigned\n", + " ---\n", + " date_of_birth : date\n", + " full_name : varchar(30)\n", + " ssn : int\n", + " \"\"\"\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import faker\n", + "fake = faker.Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert(\n", + " dict(\n", + " person_id = random.randint(100_000_000, 999_999_999),\n", + " date_of_birth = fake.date_of_birth(),\n", + " full_name = fake.name(),\n", + " ssn = random.randint(100_00_0000, 999_99_9999)\n", + " ) for _ in range(3000)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

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ssn

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1007369961988-01-21Ryan Carroll693662313
1010893681949-10-31Rodney Larson624997449
1011795241914-11-28Joshua Hendricks989102464
1016281591968-10-24Joshua Grant589612296
1022150101977-04-27Robert Becker757141219
1024299931986-10-16Mark Brown691647217
1026972731955-12-06Edward Jones846903546
1028726082020-03-18Rachel Newton696859337
1028842071918-12-08Nicole Goodwin499530867
1031494971931-01-16Hannah Manning692374987
1031712641931-09-20Christy Fisher520790110
1032427522022-05-01Nancy Johnson952655808
\n", + "

...

\n", + "

Total: 3000

\n", + " " + ], + "text/plain": [ + "*person_id date_of_birth full_name ssn \n", + "+-----------+ +------------+ +------------+ +-----------+\n", + "100736996 1988-01-21 Ryan Carroll 693662313 \n", + "101089368 1949-10-31 Rodney Larson 624997449 \n", + "101179524 1914-11-28 Joshua Hendric 989102464 \n", + "101628159 1968-10-24 Joshua Grant 589612296 \n", + "102215010 1977-04-27 Robert Becker 757141219 \n", + "102429993 1986-10-16 Mark Brown 691647217 \n", + "102697273 1955-12-06 Edward Jones 846903546 \n", + "102872608 2020-03-18 Rachel Newton 696859337 \n", + "102884207 1918-12-08 Nicole Goodwin 499530867 \n", + "103149497 1931-01-16 Hannah Manning 692374987 \n", + "103171264 1931-09-20 Christy Fisher 520790110 \n", + "103242752 2022-05-01 Nancy Johnson 952655808 \n", + " ...\n", + " (Total: 3000)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Account(dj.Manual):\n", + " definition = \"\"\"\n", + " account : int unsigned \n", + " ---\n", + " -> Person\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "keys = Person.fetch(\"KEY\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'person_id': 591537366}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "random.choice(keys)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'person_id': 953003224, 'account': 10}" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dict(random.choice(keys), account=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "Account.insert(\n", + " dict(random.choice(keys), account=i) for i in range(300, 600))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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Total: 300

\n", + " " + ], + "text/plain": [ + "*account person_id \n", + "+---------+ +-----------+\n", + "558 104728015 \n", + "420 105467497 \n", + "366 123340380 \n", + "384 127479809 \n", + "511 128464454 \n", + "523 129280391 \n", + "594 135845005 \n", + "567 137392646 \n", + "555 140593584 \n", + "365 143078002 \n", + "476 145303761 \n", + "329 152318047 \n", + " ...\n", + " (Total: 300)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Account\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* A foreign key from Child to Parent creates a one-to-one relationship if the foreign key is also a unique index. \n", + "* If the foreign key is not a unique index, then this becomes a many-to-one relationship.\n", + "* A single foreign key never creates a many-to-many relationship. For such relationships you need a separate *association table*." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Modify the design so that each person could only have one account.\n", + "One person can only have one bank account." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person2(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int unsigned\n", + " ---\n", + " date_of_birth : date\n", + " full_name : varchar(30)\n", + " ssn : int\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Account2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person2\n", + " --- \n", + " balance : decimal(10, 2)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person2->Account2\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Account\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person3(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int unsigned\n", + " ---\n", + " date_of_birth : date\n", + " full_name : varchar(30)\n", + " ssn : int\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Account3(dj.Manual):\n", + " definition = \"\"\"\n", + " account : int\n", + " --- \n", + " -> Person3\n", + " balance : decimal(10, 2)\n", + " unique index (person_id) \n", + " \"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here is how you would define Account3 in SQL:\n", + "```sql\n", + "\n", + "CREATE TABLE account3 (\n", + " account int NOT NULL,\n", + " person_id int unsigned NOT NULL,\n", + " balance decimal(10, 2) NOT NULL,\n", + " PRIMARY KEY(account),\n", + " FOREIGN KEY (person_id) REFERENCE person3(person_id),\n", + " UNIQUE INDEX (person_id)\n", + ")\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Account\n", + "\n", + "\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account3\n", + "\n", + "\n", + "Account3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person3\n", + "\n", + "\n", + "Person3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person3->Account3\n", + "\n", + "\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person2->Account2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modify this design to allow multiple owners for each account" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person4(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int unsigned\n", + " ---\n", + " date_of_birth : date\n", + " full_name : varchar(30)\n", + " ssn : int\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Account4(dj.Manual):\n", + " definition = \"\"\"\n", + " account : int unsigned\n", + " --- \n", + " balance : decimal(10, 2)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class AccountPerson4(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person4\n", + " -> Account4\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "Person4.insert(\n", + " dict(\n", + " person_id = random.randint(100_000_000, 999_999_999),\n", + " date_of_birth = fake.date_of_birth(),\n", + " full_name = fake.name(),\n", + " ssn = random.randint(100_00_0000, 999_99_9999)\n", + " ) for _ in range(3000)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "Account4.insert(\n", + " dict(\n", + " account = random.randint(100_000_000, 999_999_999),\n", + " balance = random.randint(100_000_000, 999_999_999) / 100\n", + " ) for _ in range(3000)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "person_keys = Person4.fetch('KEY')\n", + "account_keys = Account4.fetch('KEY')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'person_id': 642100582, 'account': 665472440}" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "{**random.choice(person_keys), **random.choice(account_keys)}" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "AccountPerson4.insert(\n", + " ({**random.choice(person_keys), **random.choice(account_keys)}\n", + " for _ in range(4000)),\n", + " skip_duplicates=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", 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Total: 4000

\n", + " " + ], + "text/plain": [ + "*person_id *account \n", + "+-----------+ +-----------+\n", + "100099454 943839668 \n", + "100935914 181717356 \n", + "100986864 142949824 \n", + "101210981 341379745 \n", + "101210981 466908323 \n", + "101652587 294663607 \n", + "101756491 241891345 \n", + "102792954 667276575 \n", + "102792954 725969106 \n", + "102792954 748896047 \n", + "104205720 662618046 \n", + "105030464 260892984 \n", + " ...\n", + " (Total: 4000)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "AccountPerson4()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Account\n", + "\n", + "\n", + "\n", + "\n", + "AccountPerson4\n", + "\n", + "\n", + "AccountPerson4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person4\n", + "\n", + "\n", + "Person4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person4->AccountPerson4\n", + "\n", + "\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account4\n", + "\n", + "\n", + "Account4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account4->AccountPerson4\n", + "\n", + "\n", + "\n", + "\n", + "Account3\n", + "\n", + "\n", + "Account3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person3\n", + "\n", + "\n", + "Person3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person3->Account3\n", + "\n", + "\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person2->Account2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person5(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int unsigned\n", + " ---\n", + " date_of_birth : date\n", + " full_name : varchar(30)\n", + " ssn : int\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Account5(dj.Manual):\n", + " definition = \"\"\"\n", + " account : int unsigned\n", + " --- \n", + " balance : decimal(10, 2)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class AccountPerson5(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Account5\n", + " ---\n", + " -> Person5\n", + " \"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### translate `AccountPerson5` into SQL:\n", + "```sql\n", + "create table AccountPerson5 (\n", + " account int unsigned NOT NULL,\n", + " person_id int unsigned NOT NULL,\n", + " PRIMARY KEY(account),\n", + " FOREIGN KEY(account) REFERENCES Account5(account),\n", + " FOREIGN KEY(person_id) REFERENCES Person5(person_id)\n", + ")\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Account\n", + "\n", + "\n", + "\n", + "\n", + "AccountPerson4\n", + "\n", + "\n", + "AccountPerson4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person4\n", + "\n", + "\n", + "Person4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person4->AccountPerson4\n", + "\n", + "\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "Account2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person5\n", + "\n", + "\n", + "Person5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AccountPerson5\n", + "\n", + "\n", + "AccountPerson5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person5->AccountPerson5\n", + "\n", + "\n", + "\n", + "\n", + "Account4\n", + "\n", + "\n", + "Account4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account4->AccountPerson4\n", + "\n", + "\n", + "\n", + "\n", + "Account3\n", + "\n", + "\n", + "Account3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account5\n", + "\n", + "\n", + "Account5\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account5->AccountPerson5\n", + "\n", + "\n", + "\n", + "\n", + "Person3\n", + "\n", + "\n", + "Person3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person3->Account3\n", + "\n", + "\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "Person2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person2->Account2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Default values, nulls, and secondary indexes" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person6(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int unsigned\n", + " ---\n", + " date_of_birth = null : date\n", + " full_name = \"\": varchar(30)\n", + " ssn = null : int\n", + " unique index (ssn)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Account6(dj.Manual):\n", + " definition = \"\"\"\n", + " account : int unsigned\n", + " --- \n", + " -> [nullable] Person6\n", + " balance = 0.0: decimal(10, 2)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "Person6.insert1(dict(person_id=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "Person6.insert1(dict(person_id=2, full_name=\"Alice Cooper\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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Total: 2

\n", + " " + ], + "text/plain": [ + "*person_id date_of_birth full_name ssn \n", + "+-----------+ +------------+ +------------+ +------+\n", + "1 None None \n", + "2 None Alice Cooper None \n", + " (Total: 2)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person6()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Translate Person6 and Account6 into SQL \n", + "\n", + "```sql\n", + "\n", + "CREATE TABLE Person6 (\n", + " person_id int unsigned NOT NULL,\n", + " date_of_birth date,\n", + " full_name varchar(30) NOT NULL DEFAULT \"\", \n", + " ssn int,\n", + " PRIMARY KEY(person_id),\n", + " UNIQUE INDEX (ssn))\n", + "\n", + "CREATE TABLE Account6 (\n", + " account int unsigned NOT NULL auto_increment,\n", + " person_id int unsigned,\n", + " balance decimal(10, 2) NOT NULL DEFAULT 0.0, \n", + " PRIMARY KEY(account),\n", + " FOREIGN KEY (person_id) REFERENCES Person6 (person_id) )\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "benv", + "language": "python", + "name": "benv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/db-course/QuizSystem.ipynb b/db-course/QuizSystem.ipynb new file mode 100644 index 0000000..c61ecfe --- /dev/null +++ b/db-course/QuizSystem.ipynb @@ -0,0 +1,914 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "eab79078", + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "adeae312", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "with open('cred.json') as f:\n", + " creds = json.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1cca12f2", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2022-11-29 18:37:22,943][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", + "[2022-11-29 18:37:23,337][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + ] + } + ], + "source": [ + "schema = dj.Schema('dimitri_final')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "74f40761", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subject(dj.Manual):\n", + " definition = \"\"\"\n", + " subject_id : varchar(15)\n", + " ---\n", + " subject_name : varchar(60)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cc89cfea", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class User(dj.Manual):\n", + " definition = \"\"\"\n", + " user_id : int unsigned\n", + " ---\n", + " first_name : varchar(60)\n", + " last_name : varchar(60)\n", + " birthday : date \n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "33c9e812", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Question(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Subject\n", + " question_id : int unsigned\n", + " ---\n", + " question : varchar(2000)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ad537703", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Answer(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Question\n", + " answer_id : tinyint unsigned \n", + " ---\n", + " answer: varchar(300)\n", + " correct = null : enum('YES')\n", + " unique index(subject_id, question_id, correct)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a4c596d5", + "metadata": {}, + "outputs": [], + "source": [ + "# Make user take a quiz only once in each calendar year on any subject\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "53c247fd", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Quiz(dj.Manual):\n", + " definition = \"\"\"\n", + " -> User\n", + " -> Subject\n", + " year : year\n", + " ---\n", + " date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "33b7a50c", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class QuizQuestion(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Quiz\n", + " -> Question\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cad762f5", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class SubmittedAnswer(dj.Manual):\n", + " definition = \"\"\"\n", + " -> QuizQuestion\n", + " -> Answer\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e0c46923", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Result(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Quiz\n", + " ---\n", + " number_correct : int(3)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "51c6ab85", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Answer\n", + "\n", + "\n", + "Answer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "SubmittedAnswer\n", + "\n", + "\n", + "SubmittedAnswer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Answer->SubmittedAnswer\n", + "\n", + "\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Quiz\n", + "\n", + "\n", + "Quiz\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Quiz\n", + "\n", + "\n", + "\n", + "\n", + "Result\n", + "\n", + "\n", + "Result\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Quiz->Result\n", + "\n", + "\n", + "\n", + "\n", + "QuizQuestion\n", + "\n", + "\n", + "QuizQuestion\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Quiz->QuizQuestion\n", + "\n", + "\n", + "\n", + "\n", + "QuizQuestion->SubmittedAnswer\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Quiz\n", + "\n", + "\n", + "\n", + "\n", + "Question\n", + "\n", + "\n", + "Question\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Question\n", + "\n", + "\n", + "\n", + "\n", + "Question->Answer\n", + "\n", + "\n", + "\n", + "\n", + "Question->QuizQuestion\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "2241fd1a", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subject2(dj.Lookup):\n", + " definition = \"\"\"\n", + " subject_id : varchar(6)\n", + " ---\n", + " subject_name : varchar(60)\n", + " \"\"\"\n", + " \n", + " contents = [\n", + " (\"DaSy\", \"Database Systems\" ), \n", + " (\"ML\", \"Machine Learning\" ),\n", + " (\"SciViz\", \"Scientific Visualization\")\n", + " ]\n", + " \n", + "@schema\n", + "class User2(dj.Manual):\n", + " definition = \"\"\"\n", + " user_id : int unsigned\n", + " ---\n", + " first_name : varchar(60)\n", + " last_name : varchar(60)\n", + " birthday : date \n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Question2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Subject2\n", + " question_id : int unsigned\n", + " ---\n", + " question : varchar(2000)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Answer2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Question2\n", + " answer_id : tinyint unsigned \n", + " ---\n", + " answer: varchar(300)\n", + " correct = null : enum('YES')\n", + " unique index(subject_id, question_id, correct)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Quiz2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> User2\n", + " -> Subject2\n", + " year : year\n", + " ---\n", + " date : date\n", + " \"\"\"\n", + " \n", + " class Question(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " -> Question2\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Submission2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Quiz2\n", + " \"\"\"\n", + " \n", + " class Answer(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " -> Answer2\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Result2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Submission2\n", + " ---\n", + " number_correct : smallint\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "70cbfc4c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Answer\n", + "\n", + "\n", + "Answer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "SubmittedAnswer\n", + "\n", + "\n", + "SubmittedAnswer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Answer->SubmittedAnswer\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Question2\n", + "\n", + "\n", + "Question2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Question2\n", + "\n", + "\n", + "\n", + "\n", + "Quiz2\n", + "\n", + "\n", + "Quiz2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Quiz2\n", + "\n", + "\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Quiz\n", + "\n", + "\n", + "Quiz\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Quiz\n", + "\n", + "\n", + "\n", + "\n", + "Result\n", + "\n", + "\n", + "Result\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Quiz->Result\n", + "\n", + "\n", + "\n", + "\n", + "QuizQuestion\n", + "\n", + "\n", + "QuizQuestion\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Quiz->QuizQuestion\n", + "\n", + "\n", + "\n", + "\n", + "QuizQuestion->SubmittedAnswer\n", + "\n", + "\n", + "\n", + "\n", + "Submission2\n", + "\n", + "\n", + "Submission2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Result2\n", + "\n", + "\n", + "Result2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Submission2->Result2\n", + "\n", + "\n", + "\n", + "\n", + "Submission2.Answer\n", + "\n", + "\n", + "Submission2.Answer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Submission2->Submission2.Answer\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Quiz\n", + "\n", + "\n", + "\n", + "\n", + "Question\n", + "\n", + "\n", + "Question\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Question\n", + "\n", + "\n", + "\n", + "\n", + "Quiz2.Question\n", + "\n", + "\n", + "Quiz2.Question\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Question2->Quiz2.Question\n", + "\n", + "\n", + "\n", + "\n", + "Answer2\n", + "\n", + "\n", + "Answer2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Question2->Answer2\n", + "\n", + "\n", + "\n", + "\n", + "Quiz2->Submission2\n", + "\n", + "\n", + "\n", + "\n", + "Quiz2->Quiz2.Question\n", + "\n", + "\n", + "\n", + "\n", + "Answer2->Submission2.Answer\n", + "\n", + "\n", + "\n", + "\n", + "User2\n", + "\n", + "\n", + "User2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User2->Quiz2\n", + "\n", + "\n", + "\n", + "\n", + "Question->Answer\n", + "\n", + "\n", + "\n", + "\n", + "Question->QuizQuestion\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "358a5f5a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
\n", + "

subject_id

\n", + " \n", + "
\n", + "

subject_name

\n", + " \n", + "
DaSyDatabase Systems
MLMachine Learning
SciVizScientific Visualization
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*subject_id subject_name \n", + "+------------+ +------------+\n", + "DaSy Database Syste\n", + "ML Machine Learni\n", + "SciViz Scientific Vis\n", + " (Total: 3)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Subject2()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a26d61d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/db-course/UUID.ipynb b/db-course/UUID.ipynb new file mode 100644 index 0000000..66ef9ac --- /dev/null +++ b/db-course/UUID.ipynb @@ -0,0 +1,845 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# UUIDs\n", + "## Background\n", + "Universally Unique Identifiers (UUIDs) provide convenient mechanisms for identifying pieces of information (objects) inside an information system. Various conventions exist. However, general patterns have been established and formalized as RFC 4122.\n", + "\n", + "Comprised of hex digits, UUIDs have the pattern `8-4-4-4-12`, e.g. `e45ba2cc-39db-11e9-8e62-7470fdf23ef1`.\n", + "\n", + "It adds up to 36 characters (32 hex + 4 hyphens), or 16 bytes of information (128 bits).\n", + "\n", + "Python provides a [UUID module](https://docs.python.org/3/library/uuid.html) in its standard library." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import uuid" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function uuid1 in module uuid:\n", + "\n", + "uuid1(node=None, clock_seq=None)\n", + " Generate a UUID from a host ID, sequence number, and the current time.\n", + " If 'node' is not given, getnode() is used to obtain the hardware\n", + " address. If 'clock_seq' is given, it is used as the sequence number;\n", + " otherwise a random 14-bit sequence number is chosen.\n", + "\n" + ] + } + ], + "source": [ + "help(uuid.uuid1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "UUID('67cefa94-3949-11ed-b8e5-acde48001122')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "uuid.uuid1()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[UUID('95486938-3949-11ed-b8e5-acde48001122'),\n", + " UUID('954869ce-3949-11ed-b8e5-acde48001122'),\n", + " UUID('954869f6-3949-11ed-b8e5-acde48001122'),\n", + " UUID('95486a6e-3949-11ed-b8e5-acde48001122'),\n", + " UUID('95486a8c-3949-11ed-b8e5-acde48001122'),\n", + " UUID('95486aaa-3949-11ed-b8e5-acde48001122'),\n", + " UUID('95486abe-3949-11ed-b8e5-acde48001122'),\n", + " UUID('95486adc-3949-11ed-b8e5-acde48001122')]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the current hardware address and time\n", + "[uuid.uuid1() for _ in range(8)]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[UUID('a58e34e4-3949-11ed-b8e5-acde48001122'),\n", + " UUID('a58e3570-3949-11ed-b8e5-acde48001122'),\n", + " UUID('a58e35a2-3949-11ed-b8e5-acde48001122'),\n", + " UUID('a58e35c0-3949-11ed-b8e5-acde48001122'),\n", + " UUID('a58e35de-3949-11ed-b8e5-acde48001122')]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the current hardware address and time\n", + "[uuid.uuid1() for _ in range(5)]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[UUID('c2712a4e-3949-11ed-8001-000000000003'),\n", + " UUID('c2712af8-3949-11ed-8001-000000000003'),\n", + " UUID('c2712b34-3949-11ed-8001-000000000003'),\n", + " UUID('c2712b5c-3949-11ed-8001-000000000003'),\n", + " UUID('c2712b84-3949-11ed-8001-000000000003')]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use fixed values\n", + "[uuid.uuid1(3, 1) for _ in range(5)]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function uuid1 in module uuid:\n", + "\n", + "uuid1(node=None, clock_seq=None)\n", + " Generate a UUID from a host ID, sequence number, and the current time.\n", + " If 'node' is not given, getnode() is used to obtain the hardware\n", + " address. If 'clock_seq' is given, it is used as the sequence number;\n", + " otherwise a random 14-bit sequence number is chosen.\n", + "\n" + ] + } + ], + "source": [ + "help(uuid.uuid1)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function uuid3 in module uuid:\n", + "\n", + "uuid3(namespace, name)\n", + " Generate a UUID from the MD5 hash of a namespace UUID and a name.\n", + "\n" + ] + } + ], + "source": [ + "help(uuid.uuid3)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function uuid5 in module uuid:\n", + "\n", + "uuid5(namespace, name)\n", + " Generate a UUID from the SHA-1 hash of a namespace UUID and a name.\n", + "\n" + ] + } + ], + "source": [ + "help(uuid.uuid5)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "top = uuid.UUID('00000000-0000-0000-0000-000000000000')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "UUID('00000000-0000-0000-0000-000000000000')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "top" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "UUID('913e0174-a390-5c08-b50a-623690546dd5')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic = uuid.uuid5(top, 'Neuroscience')\n", + "topic" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "UUID('b5804c3f-57b1-54e3-8176-3b45aa443a97')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "subject1 = uuid.uuid5(topic, 'Habenula')\n", + "subject1" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(UUID('345b4a08-7955-5b86-8646-f0826799afe9'),\n", + " UUID('b5804c3f-57b1-54e3-8176-3b45aa443a97'),\n", + " UUID('58571fff-c6bd-583f-88ac-ef0b8ff2981f'),\n", + " UUID('b5804c3f-57b1-54e3-8176-3b45aa443a97'),\n", + " UUID('6340129b-3a59-5354-aec6-5df769ae2ce7'))" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "top = uuid.UUID('00000000-0000-0000-0000-000000000000')\n", + "topic = uuid.uuid5(top, 'Neuroscience')\n", + "subject1 = uuid.uuid5(topic, 'Habenula')\n", + "subject2 = uuid.uuid5(topic, 'Entorhinal cortex')\n", + "subject3 = uuid.uuid5(topic, 'Habenula')\n", + "\n", + "topic = uuid.uuid5(top, 'Philosophy')\n", + "subject4 = uuid.uuid5(topic, 'Habenula')\n", + "\n", + "topic, subject1, subject2, subject3, subject4" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "UUID('3d9d9035-dec3-5fc8-b66c-38cd8537acbe')" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "uuid.uuid5(subject4, 'study'*1000000)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function uuid4 in module uuid:\n", + "\n", + "uuid4()\n", + " Generate a random UUID.\n", + "\n" + ] + } + ], + "source": [ + "help(uuid.uuid4)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[UUID('5d24200a-bb19-4a0f-b22a-ff41edf22ada'),\n", + " UUID('3fec50a4-124d-4666-a30b-58d46be3a774'),\n", + " UUID('f62e4a91-bbd1-4895-ad57-7c0c71a8b105'),\n", + " UUID('c16a14df-555f-4b3a-8907-40c5237c58a2'),\n", + " UUID('8e425bf1-3d5e-4f3e-adbd-c1a7f86fc19d'),\n", + " UUID('66d2183f-1352-420e-817a-ee3a65d60892'),\n", + " UUID('667d7190-54ec-4357-ae77-dc8e365d71c2'),\n", + " UUID('a3281c04-8fb5-4d14-90e9-34deef7888b3'),\n", + " UUID('ff981bdc-bdfb-4dba-986a-978947654baf'),\n", + " UUID('bffb4978-f1bb-4a74-a27d-729bbee1f295'),\n", + " UUID('83a5e51b-68e3-4775-84f9-4784db5f3151'),\n", + " UUID('bb924876-08ec-4b78-ae4a-2656448adfda')]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[uuid.uuid4() for _ in range(12)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## UUIDs in DataJoint" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'0.13.7'" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import datajoint as dj\n", + "dj.__version__" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2022-09-20 18:13:24,758][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", + "[2022-09-20 18:13:25,542][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + ] + } + ], + "source": [ + "schema = dj.schema('dimitri_uuid')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Message(dj.Manual):\n", + " definition = \"\"\"\n", + " message_id : uuid # internal message id\n", + " ---\n", + " message_body : varchar(1000) \n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message.describe();" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'`message_id` binary(16) NOT NULL COMMENT \":uuid:internal message id\"'" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# For the curious: Internally, DataJoint represents uuids as BINARY(16) \n", + "Message.heading['message_id'].sql" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "Message.insert1((uuid.uuid1(), 'Hello, world!'))\n", + "Message.insert1((uuid.uuid1(), 'Cogito ergo sum'))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

message_body

\n", + " \n", + "
d79bd2ce-394a-11ed-b8e5-acde48001122Hello, world!
d7a8b46c-394a-11ed-b8e5-acde48001122Cogito ergo sum
\n", + " \n", + "

Total: 2

\n", + " " + ], + "text/plain": [ + "*message_id message_body \n", + "+------------+ +------------+\n", + "d79bd2ce-394a- Hello, world! \n", + "d7a8b46c-394a- Cogito ergo su\n", + " (Total: 2)" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Message()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "Message.insert1((uuid.uuid1(), 'I will be back'))\n", + "Message.insert1((uuid.uuid1(), 'Must destroy humans.'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b = uuid.uuid4().bytes\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "uuid.UUID(bytes=b)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message.insert1((uuid.uuid4(), 'Hasta la vista baby'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Comment(dj.Manual):\n", + " definition = \"\"\"\n", + " comment_id : uuid\n", + " --- \n", + " -> Message\n", + " comment_body : varchar(1000)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# For the curious: This is how the table was declared in SQL\n", + "print(schema.connection.query('show create table `dimitri_uuid`.`comment`').fetchall()[0][1])" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Message\n", + "\n", + "\n", + "Message\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Comment\n", + "\n", + "\n", + "Comment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Message->Comment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "keys = Message.fetch('KEY')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "keys" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Comment.insert1(dict(keys[0], comment_id=uuid.uuid1(), comment_body=\"thank you\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message* Comment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "Message * Comment & keys[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message & keys[1:4]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Comment.insert1(dict(keys[1], comment_id=uuid.uuid1(), comment_body=\"thank you\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Comment()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message & Comment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Message * Comment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From e1359dc0c10224cdec5f286d26a2bffe8cc40e98 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Mon, 2 Oct 2023 00:40:34 +0000 Subject: [PATCH 11/33] re-organize tutorials --- db-course/000-ConnectCursors.ipynb | 277 +++++++++++ db-course/001-University.ipynb | 11 +- .../{002-Tables-DJ.ipynb => 002-Tables.ipynb} | 29 +- db-course/003-ForeignKeys-HW.ipynb | 41 ++ ...ignKeys-DJ.ipynb => 003-ForeignKeys.ipynb} | 21 +- db-course/004-Design-HW.ipynb | 86 ++++ db-course/004-Design.ipynb | 452 +++++++++++++++++- db-course/004-DesignSQL.ipynb | 2 + db-course/005-Queries-HW.ipynb | 0 db-course/005-Queries.ipynb | 164 ++++--- 10 files changed, 958 insertions(+), 125 deletions(-) create mode 100644 db-course/000-ConnectCursors.ipynb rename db-course/{002-Tables-DJ.ipynb => 002-Tables.ipynb} (72%) create mode 100644 db-course/003-ForeignKeys-HW.ipynb rename db-course/{003-ForeignKeys-DJ.ipynb => 003-ForeignKeys.ipynb} (97%) create mode 100644 db-course/004-Design-HW.ipynb create mode 100644 db-course/005-Queries-HW.ipynb diff --git a/db-course/000-ConnectCursors.ipynb b/db-course/000-ConnectCursors.ipynb new file mode 100644 index 0000000..79e5ce2 --- /dev/null +++ b/db-course/000-ConnectCursors.ipynb @@ -0,0 +1,277 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Learn about Cursors\n", + "Cursors are the usual way of issuing database queries and processing their results.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pymysql\n", + "\n", + "creds = {'user': 'root', 'password': 'simple', 'host':'127.0.0.1'}\n", + "\n", + "# establish a database connection\n", + "conn = pymysql.connect(\n", + " host=creds['host'], \n", + " user=creds['user'], \n", + " passwd=creds['password'],\n", + " autocommit=True,\n", + ")\n", + "cursor = conn.cursor(\n", + " cursor=pymysql.cursors.DictCursor)\n", + "cursor.execute(\"CREATE SCHEMA IF NOT EXISTS university\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "s = '''\n", + "Yesterday, \n", + "all my troubles seemed so far away.\n", + "Now it seems as though they're here to stay.\n", + "Oh, how I long for yesterday.\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "ProgrammingError", + "evalue": "(1007, \"Can't create database 'university'; database exists\")", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mProgrammingError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m cursor\u001b[39m.\u001b[39;49mexecute(\u001b[39m'\u001b[39;49m\u001b[39mCREATE schema university\u001b[39;49m\u001b[39m'\u001b[39;49m)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py:153\u001b[0m, in \u001b[0;36mCursor.execute\u001b[0;34m(self, query, args)\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[39mpass\u001b[39;00m\n\u001b[1;32m 151\u001b[0m query \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmogrify(query, args)\n\u001b[0;32m--> 153\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_query(query)\n\u001b[1;32m 154\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_executed \u001b[39m=\u001b[39m query\n\u001b[1;32m 155\u001b[0m \u001b[39mreturn\u001b[39;00m result\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py:322\u001b[0m, in \u001b[0;36mCursor._query\u001b[0;34m(self, q)\u001b[0m\n\u001b[1;32m 320\u001b[0m conn \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_db()\n\u001b[1;32m 321\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_clear_result()\n\u001b[0;32m--> 322\u001b[0m conn\u001b[39m.\u001b[39;49mquery(q)\n\u001b[1;32m 323\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_do_get_result()\n\u001b[1;32m 324\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrowcount\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:558\u001b[0m, in \u001b[0;36mConnection.query\u001b[0;34m(self, sql, unbuffered)\u001b[0m\n\u001b[1;32m 556\u001b[0m sql \u001b[39m=\u001b[39m sql\u001b[39m.\u001b[39mencode(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mencoding, \u001b[39m\"\u001b[39m\u001b[39msurrogateescape\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 557\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_execute_command(COMMAND\u001b[39m.\u001b[39mCOM_QUERY, sql)\n\u001b[0;32m--> 558\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_affected_rows \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_read_query_result(unbuffered\u001b[39m=\u001b[39;49munbuffered)\n\u001b[1;32m 559\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_affected_rows\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:822\u001b[0m, in \u001b[0;36mConnection._read_query_result\u001b[0;34m(self, unbuffered)\u001b[0m\n\u001b[1;32m 820\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 821\u001b[0m result \u001b[39m=\u001b[39m MySQLResult(\u001b[39mself\u001b[39m)\n\u001b[0;32m--> 822\u001b[0m result\u001b[39m.\u001b[39;49mread()\n\u001b[1;32m 823\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result \u001b[39m=\u001b[39m result\n\u001b[1;32m 824\u001b[0m \u001b[39mif\u001b[39;00m result\u001b[39m.\u001b[39mserver_status \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:1200\u001b[0m, in \u001b[0;36mMySQLResult.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1198\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mread\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m 1199\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m-> 1200\u001b[0m first_packet \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mconnection\u001b[39m.\u001b[39;49m_read_packet()\n\u001b[1;32m 1202\u001b[0m \u001b[39mif\u001b[39;00m first_packet\u001b[39m.\u001b[39mis_ok_packet():\n\u001b[1;32m 1203\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_read_ok_packet(first_packet)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:772\u001b[0m, in \u001b[0;36mConnection._read_packet\u001b[0;34m(self, packet_type)\u001b[0m\n\u001b[1;32m 770\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result\u001b[39m.\u001b[39munbuffered_active \u001b[39mis\u001b[39;00m \u001b[39mTrue\u001b[39;00m:\n\u001b[1;32m 771\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result\u001b[39m.\u001b[39munbuffered_active \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n\u001b[0;32m--> 772\u001b[0m packet\u001b[39m.\u001b[39;49mraise_for_error()\n\u001b[1;32m 773\u001b[0m \u001b[39mreturn\u001b[39;00m packet\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/protocol.py:221\u001b[0m, in \u001b[0;36mMysqlPacket.raise_for_error\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[39mif\u001b[39;00m DEBUG:\n\u001b[1;32m 220\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39merrno =\u001b[39m\u001b[39m\"\u001b[39m, errno)\n\u001b[0;32m--> 221\u001b[0m err\u001b[39m.\u001b[39;49mraise_mysql_exception(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_data)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/err.py:143\u001b[0m, in \u001b[0;36mraise_mysql_exception\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[39mif\u001b[39;00m errorclass \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 142\u001b[0m errorclass \u001b[39m=\u001b[39m InternalError \u001b[39mif\u001b[39;00m errno \u001b[39m<\u001b[39m \u001b[39m1000\u001b[39m \u001b[39melse\u001b[39;00m OperationalError\n\u001b[0;32m--> 143\u001b[0m \u001b[39mraise\u001b[39;00m errorclass(errno, errval)\n", + "\u001b[0;31mProgrammingError\u001b[0m: (1007, \"Can't create database 'university'; database exists\")" + ] + } + ], + "source": [ + "cursor.execute('CREATE schema university')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "ename": "ProgrammingError", + "evalue": "(1146, \"Table 'university.person' doesn't exist\")", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mProgrammingError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 13\u001b[0m\n\u001b[1;32m 2\u001b[0m cursor\u001b[39m.\u001b[39mexecute(\u001b[39m\"\"\"\u001b[39m\n\u001b[1;32m 3\u001b[0m \u001b[39mCREATE TABLE person(\u001b[39m\n\u001b[1;32m 4\u001b[0m \u001b[39mperson_id int not NULL,\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[39m\"\"\"\u001b[39m\n\u001b[1;32m 11\u001b[0m )\n\u001b[1;32m 12\u001b[0m cursor\u001b[39m.\u001b[39mexecute(\u001b[39m\"\u001b[39m\u001b[39mDROP TABLE person\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m---> 13\u001b[0m cursor\u001b[39m.\u001b[39;49mexecute(\n\u001b[1;32m 14\u001b[0m \u001b[39m \u001b[39;49m\u001b[39m\"\"\"\u001b[39;49;00m\n\u001b[1;32m 15\u001b[0m \u001b[39m INSERT INTO person \u001b[39;49;00m\n\u001b[1;32m 16\u001b[0m \u001b[39m VALUES\u001b[39;49;00m\n\u001b[1;32m 17\u001b[0m \u001b[39m (2, \"Jane\", \"Doe\", \"2002-02-02\"),\u001b[39;49;00m\n\u001b[1;32m 18\u001b[0m \u001b[39m (3, \"John\", \"Smith\", \"2003-03-01\"),\u001b[39;49;00m\n\u001b[1;32m 19\u001b[0m \u001b[39m (4, \"John\", \"Wick\", \"1979-12-02\")\u001b[39;49;00m\n\u001b[1;32m 20\u001b[0m \u001b[39m\"\"\"\u001b[39;49;00m)\n\u001b[1;32m 21\u001b[0m cursor\u001b[39m.\u001b[39mexecute(\u001b[39m\"\"\"\u001b[39m\n\u001b[1;32m 22\u001b[0m \u001b[39m SELECT * FROM person\u001b[39m\n\u001b[1;32m 23\u001b[0m \u001b[39m\"\"\"\u001b[39m)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py:153\u001b[0m, in \u001b[0;36mCursor.execute\u001b[0;34m(self, query, args)\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[39mpass\u001b[39;00m\n\u001b[1;32m 151\u001b[0m query \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmogrify(query, args)\n\u001b[0;32m--> 153\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_query(query)\n\u001b[1;32m 154\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_executed \u001b[39m=\u001b[39m query\n\u001b[1;32m 155\u001b[0m \u001b[39mreturn\u001b[39;00m result\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py:322\u001b[0m, in \u001b[0;36mCursor._query\u001b[0;34m(self, q)\u001b[0m\n\u001b[1;32m 320\u001b[0m conn \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_db()\n\u001b[1;32m 321\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_clear_result()\n\u001b[0;32m--> 322\u001b[0m conn\u001b[39m.\u001b[39;49mquery(q)\n\u001b[1;32m 323\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_do_get_result()\n\u001b[1;32m 324\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrowcount\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:558\u001b[0m, in \u001b[0;36mConnection.query\u001b[0;34m(self, sql, unbuffered)\u001b[0m\n\u001b[1;32m 556\u001b[0m sql \u001b[39m=\u001b[39m sql\u001b[39m.\u001b[39mencode(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mencoding, \u001b[39m\"\u001b[39m\u001b[39msurrogateescape\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 557\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_execute_command(COMMAND\u001b[39m.\u001b[39mCOM_QUERY, sql)\n\u001b[0;32m--> 558\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_affected_rows \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_read_query_result(unbuffered\u001b[39m=\u001b[39;49munbuffered)\n\u001b[1;32m 559\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_affected_rows\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:822\u001b[0m, in \u001b[0;36mConnection._read_query_result\u001b[0;34m(self, unbuffered)\u001b[0m\n\u001b[1;32m 820\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 821\u001b[0m result \u001b[39m=\u001b[39m MySQLResult(\u001b[39mself\u001b[39m)\n\u001b[0;32m--> 822\u001b[0m result\u001b[39m.\u001b[39;49mread()\n\u001b[1;32m 823\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result \u001b[39m=\u001b[39m result\n\u001b[1;32m 824\u001b[0m \u001b[39mif\u001b[39;00m result\u001b[39m.\u001b[39mserver_status \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:1200\u001b[0m, in \u001b[0;36mMySQLResult.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1198\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mread\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m 1199\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m-> 1200\u001b[0m first_packet \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mconnection\u001b[39m.\u001b[39;49m_read_packet()\n\u001b[1;32m 1202\u001b[0m \u001b[39mif\u001b[39;00m first_packet\u001b[39m.\u001b[39mis_ok_packet():\n\u001b[1;32m 1203\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_read_ok_packet(first_packet)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:772\u001b[0m, in \u001b[0;36mConnection._read_packet\u001b[0;34m(self, packet_type)\u001b[0m\n\u001b[1;32m 770\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result\u001b[39m.\u001b[39munbuffered_active \u001b[39mis\u001b[39;00m \u001b[39mTrue\u001b[39;00m:\n\u001b[1;32m 771\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result\u001b[39m.\u001b[39munbuffered_active \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n\u001b[0;32m--> 772\u001b[0m packet\u001b[39m.\u001b[39;49mraise_for_error()\n\u001b[1;32m 773\u001b[0m \u001b[39mreturn\u001b[39;00m packet\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/protocol.py:221\u001b[0m, in \u001b[0;36mMysqlPacket.raise_for_error\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[39mif\u001b[39;00m DEBUG:\n\u001b[1;32m 220\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39merrno =\u001b[39m\u001b[39m\"\u001b[39m, errno)\n\u001b[0;32m--> 221\u001b[0m err\u001b[39m.\u001b[39;49mraise_mysql_exception(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_data)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/err.py:143\u001b[0m, in \u001b[0;36mraise_mysql_exception\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[39mif\u001b[39;00m errorclass \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 142\u001b[0m errorclass \u001b[39m=\u001b[39m InternalError \u001b[39mif\u001b[39;00m errno \u001b[39m<\u001b[39m \u001b[39m1000\u001b[39m \u001b[39melse\u001b[39;00m OperationalError\n\u001b[0;32m--> 143\u001b[0m \u001b[39mraise\u001b[39;00m errorclass(errno, errval)\n", + "\u001b[0;31mProgrammingError\u001b[0m: (1146, \"Table 'university.person' doesn't exist\")" + ] + } + ], + "source": [ + "cursor.execute('USE university')\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE person(\n", + "person_id int not NULL,\n", + "first_name varchar(30) NOT NULL,\n", + "last_name varchar(30) NOT NULL,\n", + "date_of_birth date NOT NULL,\n", + "primary key(person_id)\n", + ")\n", + "\"\"\"\n", + ")\n", + "cursor.execute(\"DROP TABLE person\")\n", + "cursor.execute(\n", + " \"\"\"\n", + " INSERT INTO person \n", + " VALUES\n", + " (2, \"Jane\", \"Doe\", \"2002-02-02\"),\n", + " (3, \"John\", \"Smith\", \"2003-03-01\"),\n", + " (4, \"John\", \"Wick\", \"1979-12-02\")\n", + "\"\"\")\n", + "cursor.execute(\"\"\"\n", + " SELECT * FROM person\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for rec in cursor:\n", + " print(rec)\n", + "cursor.fetchall()\n", + "# insert \n", + "cursor.execute(\n", + " \"\"\"\n", + " INSERT INTO person \n", + " (person_id, first_name, last_name, date_of_birth) VALUES\n", + " (%s, %s, %s, %s)\n", + "\"\"\", (5, faker.first_name(), faker.last_name(), faker.date_of_birth()))\n", + "from tqdm import tqdm\n", + "for i in tqdm(range(1000, 1200)):\n", + " cursor.execute(\"\"\"\n", + " INSERT INTO \n", + " person (person_id, first_name, last_name, date_of_birth) \n", + " VALUES (%s, %s, %s, %s)\n", + " \"\"\", (i, faker.first_name(), faker.last_name(), faker.date_of_birth()))\n", + "cursor.execute(\"\"\"\n", + "SELECT * FROM person\n", + "\"\"\")\n", + "cursor.fetchall()\n", + "cursor.execute(\"\"\"\n", + "DROP TABLE dimitri_test.fake_person\n", + "\"\"\")\n", + "import datetime\n", + "cursor.execute(\"\"\"USE dimitri_test\"\"\")\n", + "cursor.execute(\"\"\"SELECT * FROM fake_person\"\"\")\n", + "cursor.fetchone()\n", + "cursor.fetchall()\n", + "cursor.execute(\"\"\"SELECT * FROM dimitri_test.fake_person\"\"\")\n", + "for rec in cursor:\n", + " print(rec)\n", + "import datetime\n", + "faker.date_between(datetime.date(2018, 2, 3), 'today')\n", + "cursor.execute(\"\"\"\n", + "drop table fake_death\n", + "\"\"\")\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE dimitri_test.fake_death(\n", + " person_id int not null,\n", + " date_of_death date NOT NULL,\n", + " primary key(person_id), \n", + " foreign key (person_id) REFERENCES dimitri_test.fake_person (person_id))\n", + "\"\"\")\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE hotel_reserviation(\n", + " \n", + " hotel varchar(20) not null\n", + " room int not null,\n", + " reservation_date date,\n", + " person_id int not null,\n", + " \n", + " unique index (person_id, reservation_date), \n", + " primary key (hotel, room, reservation_date),\n", + " foreign key (person_id) references fake_person(person_id)\n", + "\"\"\")\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE bank_account (\n", + " \n", + " bank_id int not null, \n", + " account int not null,\n", + " \n", + " primary key(bank_id, account)\n", + "\n", + "\"\"\")\n", + "\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE bank_account_owner (\n", + " \n", + " bank_id int not null, \n", + " account int not null,\n", + " person_id int not null,\n", + " \n", + " primary key(bank_id, account, person_id),\n", + " foreign key (person_id) references fake_person(person_id),\n", + " foreign key (bank_id, account) references fake_person(bank_id, account),\n", + "\n", + "\"\"\")\n", + "\n", + "cursor.execute(\"\"\"\n", + "SELECT * FROM fake_person\n", + "\"\"\")\n", + "cursor.fetchone()\n", + "cursor.execute(\"\"\"INSERT into fake_death (date_of_death) values ('2020-10-09')\"\"\")\n", + "cursor.execute(\"\"\"INSERT into fake_death (person_id, date_of_death) values (1000, '2020-09-09')\"\"\")\n", + "persons = cursor.execute(\"\"\"SELECT person_id, date_of_birth FROM dimitri_test.fake_person\"\"\")\n", + "for rec in cursor.fetchall():\n", + " cursor.execute(\"\"\"\n", + " INSERT INTO dimitri_test.fake_death (person_id, date_of_death) VALUES (%s, %s)\n", + " \"\"\", (rec['person_id'], faker.date_between(rec['date_of_birth'], rec['date_of_birth'] + datetime.timedelta(days=40000))))\n", + " \n", + "\n", + "cursor.execute(\"\"\"\n", + "SELECT first_name, floor(DATEDIFF(date_of_death, date_of_birth)/365.25) as died_at\n", + "FROM dimitri_test.fake_person NATURAL JOIN dimitri_test.fake_death\"\"\")\n", + "\n", + "for rec in cursor:\n", + " print(rec)\n", + "cursor.execute(\"\"\"\n", + "DROP TABLE dimitri_test.fake_death\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/001-University.ipynb b/db-course/001-University.ipynb index 74697b5..a463f6c 100644 --- a/db-course/001-University.ipynb +++ b/db-course/001-University.ipynb @@ -9,15 +9,6 @@ } }, "outputs": [], - "source": [ - "import datajoint as dj" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], "source": [] }, { @@ -46,6 +37,8 @@ } ], "source": [ + "import datajoint as dj\n", + "\n", "schema = dj.schema('university')\n" ] }, diff --git a/db-course/002-Tables-DJ.ipynb b/db-course/002-Tables.ipynb similarity index 72% rename from db-course/002-Tables-DJ.ipynb rename to db-course/002-Tables.ipynb index 2f4a48e..e0f11c5 100644 --- a/db-course/002-Tables-DJ.ipynb +++ b/db-course/002-Tables.ipynb @@ -9,7 +9,7 @@ "The only data structure in relational databases is a table. All data are organized as tables. Tables cannot be nested. Tables have named columns. Each column has a datatype.\n", "\n", "## Schema\n", - "A schema is a set of tables, their definitions, including data integrity constraints.\n", + "A schema is a set of logically related tables, their definitions, including data integrity constraints.\n", "\n", "## \"Scholarly\" Terminology \n", "* Tables = relation\n", @@ -59,24 +59,20 @@ "\n", "\n", "## Entity Integrity\n", - "* Each table represents a well-defined entity type from the real world. We reflect this in the table name. The name of the table reflects the entity class represented by each row in the table.\n", - "* For each entity type, enforce 1:1 correspondence between the real-world entity and its representation in the table. How can you do it?\n", - "* In the real-world, we need to permanently associate a persistent identifier to each entity of the class. The database cannot do it by itself.\n", - "* The database can use the permanent identifier to enforce uniqueness in the table.\n", - "* **Primary key** - unique, non-nullable. Primary way to identify\n", - "* Secondary unique indexes can be nullable\n", - "* Entity integrity may require a complex set of enterprise rules.\n", "\n", + "Entity integrity is a set of database design principles and practices to ensure 1:1 correspondence between real-world entities and their digital representations in the database. Entity integrity may require a complex set of enterprise rules.\n", + "\n", + "1. Each table represents a well-defined entity type from the real world. We reflect this in the table name. The name of the table reflects the entity class represented by each row in the table.\n", + "2. For each entity type, enforce 1:1 correspondence between the real-world entity and its representation in the table. How can you do it?\n", + "3. In the real-world, we need to permanently associate a persistent identifier with each entity of the class. The database cannot do it by itself.\n", + "4. The database can use the permanent identifier to enforce uniqueness in the table using a uniqueness constraint.\n", + "5. A **primary key** is a unique, non-nullable index that is designated as the primary way to identify entitites in a table. Each tables must have a carefully chosen primary key. \n", + "6. Secondary unique indexes can be nullable.\n", "\n", "\n", "\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, { "cell_type": "code", "execution_count": 1, @@ -126,13 +122,6 @@ " capacity : smallint unsigned\n", " \"\"\"\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/db-course/003-ForeignKeys-HW.ipynb b/db-course/003-ForeignKeys-HW.ipynb new file mode 100644 index 0000000..20139d3 --- /dev/null +++ b/db-course/003-ForeignKeys-HW.ipynb @@ -0,0 +1,41 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 3\n", + "\n", + "Design tables for the following types of entities.\n", + "* Make sure that the tables have a proper primary key that correctly enforces *entity integrity*.\n", + "* Make sure that the table has all the required columnts with appropriate data types and null constraints\n", + "* Include an insert statement to populate a few entries into each table but you do not need to completely fill the tables.\n", + "* Execute the entire assignment in one notebook, print it and submit the PDF to the instructor by Slack.\n", + "\n", + "You can use DataJoint, SQL Jupypter Magic, or `pymysql` to interact with the database.\n", + "\n", + "1. Courses at the University of St Thomas, including the department name, and a course description.\n", + "2. Birthdays and emails for the students in this class.\n", + "3. Boston Marathon champions for each year for men's and women's open divisions. Include the runner's nationality and their time.\n", + "4. US State capitals, state birds and flowers\n", + "5. HTML colors including their names, R, G, and B values.\n", + "6. Students' grades for each homework assignment in this course. Do include the student's email, assignment number, and the grade, but you do not need to include any course information.\n", + "\n", + "Ensure that the tables are in First Normal Form." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/003-ForeignKeys-DJ.ipynb b/db-course/003-ForeignKeys.ipynb similarity index 97% rename from db-course/003-ForeignKeys-DJ.ipynb rename to db-course/003-ForeignKeys.ipynb index 921e930..f47e2b1 100644 --- a/db-course/003-ForeignKeys-DJ.ipynb +++ b/db-course/003-ForeignKeys.ipynb @@ -15,7 +15,22 @@ "\n", "* Correcting matching of corresponding entities across the schema\n", "* Relies on entity integrity\n", - "* Enfornced by foreign keys" + "* Enfornced by foreign keys\n", + "\n", + "## Foreign keys\n", + "A foreign key is a column or several columns in the child table referencing the primary key column(s) in the parent table.\n", + "\n", + "* More generally, foreign keys can reference other sets of columns than the primary key. However, in common practice and in this class foreign keys will always reference the primary key in the referenced table.\n", + "\n", + "\n", + "## Effects of a foreign key constraint\n", + "1. Restrict inserts into the child table if there is no match in parent.\n", + "2. Restrict deletes (and updates of primary key values) from the parent table when there is a match in child.\n", + "3. An index is created in the child table to speed up searches on the foreign key.\n", + "\n", + "As a result, the child table is prevented from having values in its foreign keys columns in the absence of entries in the parent table with matching primary key values.\n", + "\n", + "Importantly, unlike other types of links in other data models, no actual link is created between individual rows of both tables. Referential integrity is maintained by restricting dta manipulations." ] }, { @@ -404,9 +419,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Foreign keys have 4 effects\n", + "## Foreign keys have 4 effects\n", "0. The primary key of the parent becomes part of the child definition (the foreign key)\n", - "1. Prevent inserts into child table if no match in parent\n", + "1. Restrict inserts into child table if no match in parent\n", "2. Restrict deletes from parent if there is a matching child \n", "3. Create an index in child to make searches fast on the value of the FK value." ] diff --git a/db-course/004-Design-HW.ipynb b/db-course/004-Design-HW.ipynb new file mode 100644 index 0000000..bf1d0a7 --- /dev/null +++ b/db-course/004-Design-HW.ipynb @@ -0,0 +1,86 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 4\n", + "\n", + "Design schemas for the following database designs.\n", + "* Make sure that the tables have a proper primary key that correctly enforces *entity integrity*.\n", + "* Make sure that the table has all the required columns with appropriate data types and null constraints\n", + "* Introduce appropriate foreign key to enforce the constraints.\n", + "* Include an insert statement to populate a few entries into each table but you do not need to completely fill the tables.\n", + "* Follow best conventions and practices we discussed in class.\n", + "* Ensure that your schema is in 3rd normal form.\n", + "* Execute the entire assignment in one notebook, print it and submit the PDF to the instructor by Slack.\n", + "\n", + "\n", + "For the general database course, you can complete the assignment in DataJoint or you can use `pymysql` or Jupyter SQL Magic to interact with the database." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Problem 1: \"Grading\" \n", + "Design a database that handles assignments and grades in this course.\n", + "\n", + "1. Students in this class.\n", + "2. Assignments in this class, including a link to its specification.\n", + "3. If assignment has been graded, store the grade for each student and each assignment." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Problem 2: \"The Library\" \n", + "Design a database to track books in a library. You may want to learn how real libraries identify different copies of the same book.\n", + "\n", + "1. Books have an ISBN but multiple copies of the same title may exist.\n", + "2. The library has members. They have a name and an address.\n", + "3. A library member can check out any book, include the checkout date.\n", + "4. The book may not be checked out by two people at the same time.\n", + "5. Some books are not checked out." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Problem 3: \"The Bank\"\n", + "Design a database to represent a bank, its branches, its customers and their banking accounts.\n", + "\n", + "1. A bank has branches that have a phone and a street address.\n", + "1. The Bank has customers.\n", + "2. Each customer has one \"home branch.\"\n", + "2. The bank manages bank accounts, which can be either \"savings\" or \"checking.\"\n", + "3. Each account has exactly one customer as its owner.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Problem 4: \"The Phone App\"\n", + "\n", + "You are designing a smart phone app. Create a database to enforce the following rules.\n", + "\n", + "1. Users can subscribe for a free account identified by their US phone number without extensions. Provide first and last name, date of birth (optional), and sex (optional).\n", + "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVV.\n", + "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", + "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb index ed5972d..7acf86f 100644 --- a/db-course/004-Design.ipynb +++ b/db-course/004-Design.ipynb @@ -23,9 +23,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-01 23:35:46,394][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-01 23:35:46,411][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "\n", @@ -34,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -70,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -87,16 +96,110 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

addon_id

\n", + " \n", + "
\n", + "

addon_name

\n", + " \n", + "
\n", + "

price

\n", + " \n", + "
1Track & Field13.99
2Marathon26.20
3Sprint100.00
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*addon_id addon_name price \n", + "+----------+ +------------+ +--------+\n", + "1 Track & Field 13.99 \n", + "2 Marathon 26.20 \n", + "3 Sprint 100.00 \n", + " (Total: 3)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "AddOn()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -112,18 +215,179 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

addon_id

\n", + " \n", + "
\n", + "

card_number

\n", + " \n", + "
\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*phone *addon_id card_number \n", + "+-------+ +----------+ +------------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Purchase()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "dj.Diagram(schema)" ] @@ -138,7 +402,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -150,7 +414,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -165,7 +429,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -194,16 +458,168 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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phone

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first_name

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last_name

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dob

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\n", + "

sex

\n", + " \n", + "
10019062770LaurenSnyder1961-08-18F
10020965828VictorRoss1952-07-12M
10040756087SusanBrown1992-12-14F
10047410808PaigeHolder1942-09-02F
10051015428WilliamEstrada1985-12-31M
10068079952NatalieBrown1950-09-09F
10092122352HaroldRivera2011-10-19M
10103783887JordanGilbert2003-03-16M
10104072787SharonShaw1926-05-13F
10116699599AlecSmith1958-07-31M
10116742023CrystalMartin1997-09-20F
10119628924PaulKing2014-03-10M
\n", + "

...

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Total: 10501

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10019062770 Lauren Snyder 1961-08-18 F \n", + "10020965828 Victor Ross 1952-07-12 M \n", + "10040756087 Susan Brown 1992-12-14 F \n", + "10047410808 Paige Holder 1942-09-02 F \n", + "10051015428 William Estrada 1985-12-31 M \n", + "10068079952 Natalie Brown 1950-09-09 F \n", + "10092122352 Harold Rivera 2011-10-19 M \n", + "10103783887 Jordan Gilbert 2003-03-16 M \n", + "10104072787 Sharon Shaw 1926-05-13 F \n", + "10116699599 Alec Smith 1958-07-31 M \n", + "10116742023 Crystal Martin 1997-09-20 F \n", + "10119628924 Paul King 2014-03-10 M \n", + " ...\n", + " (Total: 10501)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Account()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ diff --git a/db-course/004-DesignSQL.ipynb b/db-course/004-DesignSQL.ipynb index 18a0bb7..81d01f9 100644 --- a/db-course/004-DesignSQL.ipynb +++ b/db-course/004-DesignSQL.ipynb @@ -180,6 +180,8 @@ " phone bigint unsigned NOT NULL,\n", " first_name varchar(30) NOT NULL,\n", " last_name varchar(30) NOT NULL,\n", + " dob date,\n", + " sex enum(\"M\", \"F\"),\n", " PRIMARY KEY (phone)\n", ")" ] diff --git a/db-course/005-Queries-HW.ipynb b/db-course/005-Queries-HW.ipynb new file mode 100644 index 0000000..e69de29 diff --git a/db-course/005-Queries.ipynb b/db-course/005-Queries.ipynb index f9bce01..1641414 100644 --- a/db-course/005-Queries.ipynb +++ b/db-course/005-Queries.ipynb @@ -13,7 +13,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Recall the design" + "## Recall the design\n", + "\n", + "The following code connects to the `app` schema and generates Python classes to access its classes." ] }, { @@ -25,78 +27,78 @@ "name": "stderr", "output_type": "stream", "text": [ - "[2023-09-26 23:06:52,800][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-09-26 23:06:52,811][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-10-01 23:40:00,285][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-01 23:40:00,292][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] }, { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", "CreditCard\n", - "\n", - "\n", - "CreditCard\n", + "\n", + "\n", + "CreditCard\n", "\n", "\n", "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", "\n", "\n", "Purchase\n", "\n", - "\n", - "Purchase\n", + "\n", + "Purchase\n", "\n", "\n", "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", "\n", - "\n", + "\n", "CreditCard->Purchase\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "AddOn\n", - "\n", - "\n", - "AddOn\n", + "\n", + "\n", + "AddOn\n", "\n", "\n", "\n", "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", "\n", - "Account->Purchase\n", - "\n", + "AddOn->Purchase\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, "execution_count": 1, @@ -184,53 +186,53 @@ "

card_number

\n", " \n", " \n", - " 69033213933\n", - "2\n", - "6040259168340466455515\n", - "2\n", - "6040313327951804464715\n", + " 57739576919\n", + "1\n", + "6040063049113185990415\n", "2\n", - "6041277322251804464715\n", - "3\n", - "6041277322298851803995\n", + "6040074402995867190471\n", + "1\n", + "6040217726974932324173\n", + "1\n", + "6040467804174932324173\n", "2\n", - "6041773314841945689731\n", + "6040467804174932324173\n", "3\n", - "6042707894844228721095\n", + "6040467804154717139763\n", "3\n", - "6044651895782097048047\n", + "6040526113666966252830\n", "1\n", - "6044686770181700356994\n", + "6040680065035067438860\n", "1\n", - "6045082478854645599699\n", - "2\n", - "6045127986784085522668\n", - "2\n", - "6046002883468092498318\n", + "6041094021150651554632\n", "1\n", - "60464072473 \n", + "6041372345725674636975\n", + "1\n", + "6041632261225674636975\n", + "2\n", + "60416322612 \n", " \n", "

...

\n", - "

Total: 2040

\n", + "

Total: 5000

\n", " " ], "text/plain": [ "*phone *addon_id card_number \n", "+------------+ +----------+ +------------+\n", - "69033213933 2 60402591683 \n", - "40466455515 2 60403133279 \n", - "51804464715 2 60412773222 \n", - "51804464715 3 60412773222 \n", - "98851803995 2 60417733148 \n", - "41945689731 3 60427078948 \n", - "44228721095 3 60446518957 \n", - "82097048047 1 60446867701 \n", - "81700356994 1 60450824788 \n", - "54645599699 2 60451279867 \n", - "84085522668 2 60460028834 \n", - "68092498318 1 60464072473 \n", + "57739576919 1 60400630491 \n", + "13185990415 2 60400744029 \n", + "95867190471 1 60402177269 \n", + "74932324173 1 60404678041 \n", + "74932324173 2 60404678041 \n", + "74932324173 3 60404678041 \n", + "54717139763 3 60405261136 \n", + "66966252830 1 60406800650 \n", + "35067438860 1 60410940211 \n", + "50651554632 1 60413723457 \n", + "25674636975 1 60416322612 \n", + "25674636975 2 60416322612 \n", " ...\n", - " (Total: 2040)" + " (Total: 5000)" ] }, "execution_count": 2, @@ -7951,13 +7953,25 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 3, "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (1792059247.py, line 1)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Cell \u001b[0;32mIn[3], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m not (A or B) == not A and not B\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] + } + ], "source": [ - "NOT (A OR B) == NOT A AND NOT B\n", - "NOT (A AND B) == NOT A OR NOT B\n", + "not (A or B) == not A and not B\n", + "\n", + "not (A and B) == not A or not B\n", "\n", - "NOT (A AND NOT B) == NOT A OR B" + "not (A and not B) == not A or B" ] }, { From 396f1887596a33612149327bf31b8e2c0f172014 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Mon, 2 Oct 2023 01:33:12 +0000 Subject: [PATCH 12/33] rename notebooks --- db-course/000-Connect.ipynb | 580 ++++++++++++++++++++++++++++++++++++ 1 file changed, 580 insertions(+) create mode 100644 db-course/000-Connect.ipynb diff --git a/db-course/000-Connect.ipynb b/db-course/000-Connect.ipynb new file mode 100644 index 0000000..b1e89da --- /dev/null +++ b/db-course/000-Connect.ipynb @@ -0,0 +1,580 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dj.config['database.host'] = '127.0.0.1'\n", + "dj.config['database.user'] = 'root'\n", + "dj.config['database.password'] = 'simple'" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "dj.config.save_local()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-08-29 19:01:01,193][INFO]: Connecting root@127.0.0.1:3306\n", + "[2023-08-29 19:01:01,648][INFO]: Connected root@127.0.0.1:3306\n" + ] + } + ], + "source": [ + "schema = dj.Schema('university')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person : int\n", + " ---\n", + " first_name : varchar(30)\n", + " last_name : varchar(30)\n", + " date_of_birth : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "`university`.`person` (1 tuples)\n", + "Proceed? [yes, No]: no\n" + ] + } + ], + "source": [ + "Person.drop()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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1009BenjaminFernandez1913-08-10
1010JesseWilliams2004-04-02
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1003BradBuck1984-12-18
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1999AlexisJohnson1971-04-08
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1003BradBuck1984-12-18
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" - ], - "text/plain": [ - " first_name last_name date_of_birth\n", - "person \n", - "1 Jane Smith 2022-02-02\n", - "1000 Robert Smith 1947-11-18\n", - "1001 Dan Warren 2019-08-07\n", - "1002 Melissa Jackson 2003-12-26\n", - "1003 Brad Buck 1984-12-18\n", - "... ... ... ...\n", - "1995 Diana Mclean 1947-04-27\n", - "1996 Christopher Waters 1965-10-30\n", - "1997 Samantha Rodriguez 2007-02-16\n", - "1998 Matthew Lucas 1962-10-24\n", - "1999 Alexis Johnson 1971-04-08\n", - "\n", - "[1001 rows x 3 columns]" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Person.fetch(format=\"frame\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "benv", - "language": "python", - "name": "benv" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/db-course/002-Tables.ipynb b/db-course/002-Tables.ipynb index e0f11c5..1b97fdf 100644 --- a/db-course/002-Tables.ipynb +++ b/db-course/002-Tables.ipynb @@ -19,7 +19,9 @@ "* Field = attribute value\n", "\n", "## Relations\n", - "Relational databases come from 19th-century set theory concepts. A *relation* is a \n", + "Relational databases come from 19th-century set theory concepts. \n", + "In that theory, a *relation* is a subset of a cartesian product of several sets.\n", + "Operations on such sets yield nontrivial insights.\n", "\n", "## First normal form\n", " https://en.wikipedia.org/wiki/First_normal_form\n", @@ -60,6 +62,7 @@ "\n", "## Entity Integrity\n", "\n", + "\n", "Entity integrity is a set of database design principles and practices to ensure 1:1 correspondence between real-world entities and their digital representations in the database. Entity integrity may require a complex set of enterprise rules.\n", "\n", "1. Each table represents a well-defined entity type from the real world. We reflect this in the table name. The name of the table reflects the entity class represented by each row in the table.\n", diff --git a/db-course/005-Queries-HW.ipynb b/db-course/005-Queries-HW.ipynb index e69de29..6c80ca5 100644 --- a/db-course/005-Queries-HW.ipynb +++ b/db-course/005-Queries-HW.ipynb @@ -0,0 +1,28 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 5. Simple Queries\n", + "\n", + "In this project, you will design simple queries that rely on relational restriction and projection. Some restrictions may require a subquery.\n", + "\n", + "We will use the App database that was designed and populated in [004-Design](./004-Design.ipnb`). " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/QuizSystem.ipynb b/db-course/QuizSystem.ipynb index c61ecfe..6259eaf 100644 --- a/db-course/QuizSystem.ipynb +++ b/db-course/QuizSystem.ipynb @@ -13,18 +13,6 @@ { "cell_type": "code", "execution_count": 2, - "id": "adeae312", - "metadata": {}, - "outputs": [], - "source": [ - "import json\n", - "with open('cred.json') as f:\n", - " creds = json.load(f)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, "id": "1cca12f2", "metadata": {}, "outputs": [ @@ -32,18 +20,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "[2022-11-29 18:37:22,943][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", - "[2022-11-29 18:37:23,337][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + "[2023-10-02 00:53:48,908][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-02 00:53:48,920][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] } ], "source": [ - "schema = dj.Schema('dimitri_final')" + "schema = dj.Schema('quiz')" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "74f40761", "metadata": {}, "outputs": [], @@ -59,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "cc89cfea", "metadata": {}, "outputs": [], @@ -77,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "33c9e812", "metadata": {}, "outputs": [], @@ -94,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "ad537703", "metadata": {}, "outputs": [], @@ -113,17 +101,17 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "id": "a4c596d5", "metadata": {}, "outputs": [], "source": [ - "# Make user take a quiz only once in each calendar year on any subject\n" + "# Make user take a quiz only once in each calendar year on any subject" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "id": "53c247fd", "metadata": {}, "outputs": [], @@ -141,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "id": "33b7a50c", "metadata": {}, "outputs": [], @@ -156,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "id": "cad762f5", "metadata": {}, "outputs": [], @@ -171,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "e0c46923", "metadata": {}, "outputs": [], @@ -187,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "51c6ab85", "metadata": {}, "outputs": [ @@ -196,162 +184,133 @@ "image/svg+xml": [ "\n", "\n", - "\n", - "\n", + "%3\n", + "\n", + "\n", "\n", + "Question\n", + "\n", + "\n", + "Question\n", + "\n", + "\n", + "\n", + "\n", + "\n", "Answer\n", - "\n", + "\n", "\n", "Answer\n", "\n", "\n", "\n", + "\n", + "\n", + "Question->Answer\n", + "\n", + "\n", + "\n", + "\n", + "QuizQuestion\n", + "\n", + "\n", + "QuizQuestion\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Question->QuizQuestion\n", + "\n", + "\n", "\n", - "\n", + "\n", "SubmittedAnswer\n", - "\n", + "\n", "\n", "SubmittedAnswer\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Answer->SubmittedAnswer\n", "\n", "\n", + "\n", + "\n", + "Result\n", + "\n", + "\n", + "Result\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "QuizQuestion->SubmittedAnswer\n", + "\n", + "\n", "\n", - "\n", + "\n", "User\n", - "\n", + "\n", "\n", "User\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Quiz\n", - "\n", + "\n", "\n", "Quiz\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "User->Quiz\n", "\n", "\n", - "\n", - "\n", - "Result\n", - "\n", - "\n", - "Result\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Quiz->Result\n", - "\n", - "\n", - "\n", - "\n", - "QuizQuestion\n", - "\n", - "\n", - "QuizQuestion\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Quiz->QuizQuestion\n", - "\n", - "\n", - "\n", - "\n", - "QuizQuestion->SubmittedAnswer\n", - "\n", - "\n", "\n", - "\n", + "\n", "Subject\n", - "\n", + "\n", "\n", "Subject\n", "\n", "\n", "\n", - "\n", - "\n", - "Subject->Quiz\n", - "\n", - "\n", - "\n", - "\n", - "Question\n", - "\n", - "\n", - "Question\n", - "\n", - "\n", - "\n", "\n", - "\n", + "\n", "Subject->Question\n", "\n", "\n", - "\n", + "\n", + "\n", + "Subject->Quiz\n", + "\n", + "\n", + "\n", "\n", - "Question->Answer\n", - "\n", + "Quiz->Result\n", + "\n", "\n", - "\n", + "\n", "\n", - "Question->QuizQuestion\n", - "\n", + "Quiz->QuizQuestion\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -463,12 +422,12 @@ "\n", "\n", "Answer\n", - "\n", "\n", "Answer\n", @@ -478,8 +437,8 @@ "\n", "\n", "SubmittedAnswer\n", - "\n", "\n", "SubmittedAnswer\n", @@ -494,9 +453,9 @@ "\n", "\n", "Subject2\n", - "\n", "\n", "Subject2\n", @@ -506,10 +465,10 @@ "\n", "\n", "Question2\n", - "\n", "\n", "Question2\n", @@ -524,11 +483,11 @@ "\n", "\n", "Quiz2\n", - "\n", "\n", "Quiz2\n", @@ -543,11 +502,11 @@ "\n", "\n", "User\n", - "\n", "\n", "User\n", @@ -557,11 +516,11 @@ "\n", "\n", "Quiz\n", - "\n", "\n", "Quiz\n", @@ -576,9 +535,9 @@ "\n", "\n", "Result\n", - "\n", "\n", "Result\n", @@ -593,8 +552,8 @@ "\n", "\n", "QuizQuestion\n", - "\n", "\n", "QuizQuestion\n", @@ -614,7 +573,7 @@ "\n", "\n", "Submission2\n", - "\n", "\n", "Submission2\n", @@ -624,9 +583,9 @@ "\n", "\n", "Result2\n", - "\n", "\n", "Result2\n", @@ -641,8 +600,8 @@ "\n", "\n", "Submission2.Answer\n", - "\n", "\n", "Submission2.Answer\n", @@ -657,9 +616,9 @@ "\n", "\n", "Subject\n", - "\n", "\n", "Subject\n", @@ -674,10 +633,10 @@ "\n", "\n", "Question\n", - "\n", "\n", "Question\n", @@ -692,8 +651,8 @@ "\n", "\n", "Quiz2.Question\n", - "\n", "\n", "Quiz2.Question\n", @@ -708,12 +667,12 @@ "\n", "\n", "Answer2\n", - "\n", "\n", "Answer2\n", @@ -743,11 +702,11 @@ "\n", "\n", "User2\n", - "\n", "\n", "User2\n", @@ -906,7 +865,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.9.17" } }, "nbformat": 4, From 51502c8ca00e1a6212d4ac64b1e80a10034a580c Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Mon, 2 Oct 2023 01:47:51 +0000 Subject: [PATCH 14/33] restore 005-Queries --- db-course/005-Queries.ipynb | 7861 ++++++++++++++++++++++++++++++++--- 1 file changed, 7362 insertions(+), 499 deletions(-) diff --git a/db-course/005-Queries.ipynb b/db-course/005-Queries.ipynb index 963354f..1641414 100644 --- a/db-course/005-Queries.ipynb +++ b/db-course/005-Queries.ipynb @@ -4,161 +4,118 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Design\n", + "# Queries\n", "\n", - "## Problem 4. Online App\n", - "\n", - "You are designing a smart phone app\n", - "\n", - "1. Users can subscribe for free, identified by their US phone number without extensions. Provide first and last name.\n", - "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVC.\n", - "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", - "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." + "We will use the design produced in [004-Design](./004-Design.ipynb). Please execute that notebook first to define and populate the `app` schema." ] }, { - "cell_type": "code", - "execution_count": 1, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "import datajoint as dj" + "## Recall the design\n", + "\n", + "The following code connects to the `app` schema and generates Python classes to access its classes." ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[2023-09-19 23:12:49,751][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-09-19 23:12:49,831][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-10-01 23:40:00,285][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-01 23:40:00,292][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] - } - ], - "source": [ - "schema = dj.Schema('app')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Account(dj.Manual):\n", - " definition = \"\"\"\n", - " phone : bigint unsigned \n", - " ---\n", - " first_name : varchar(30)\n", - " last_name : varchar(30)\n", - " \"\"\"\n" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class CreditCard(dj.Manual):\n", - " definition = \"\"\"\n", - " card_number : bigint unsigned \n", - " ---\n", - " exp_date : date \n", - " cvc : smallint unsigned\n", - " zipcode : int unsigned \n", - " -> Account\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ + }, { "data": { "image/svg+xml": [ - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", + "Account\n", + "\n", + "\n", + "Account\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Account\n", - "\n", - "\n", - "Account\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", "\n", "\n", "\n", "\n", "\n", "Account->CreditCard\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 18, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "import datajoint as dj\n", + "schema = dj.Schema('app')\n", + "schema.spawn_missing_classes()\n", "dj.Diagram(schema)" ] }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "from faker import Faker\n", - "fake = Faker()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class AddOn(dj.Lookup):\n", - " definition = \"\"\"\n", - " addon_id : int\n", - " ---\n", - " addon_name : varchar(30)\n", - " price : decimal(5, 2) unsigned\n", - " \"\"\"\n", - "\n", - " contents = ((1, \"Track & Field\", 13.99), (2, \"Marathon\", 26.2), (3, \"Sprint\", 100.00))" - ] - }, - { - "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -220,64 +177,85 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

addon_id

\n", + "

phone

\n", " \n", "
\n", - "

addon_name

\n", + "

addon_id

\n", " \n", "
\n", - "

price

\n", + "

card_number

\n", " \n", "
1Track & Field13.99
2Marathon26.20
3Sprint100.00
57739576919160400630491
13185990415260400744029
95867190471160402177269
74932324173160404678041
74932324173260404678041
74932324173360404678041
54717139763360405261136
66966252830160406800650
35067438860160410940211
50651554632160413723457
25674636975160416322612
25674636975260416322612
\n", - " \n", - "

Total: 3

\n", + "

...

\n", + "

Total: 5000

\n", " " ], "text/plain": [ - "*addon_id addon_name price \n", - "+----------+ +------------+ +--------+\n", - "1 Track & Field 13.99 \n", - "2 Marathon 26.20 \n", - "3 Sprint 100.00 \n", - " (Total: 3)" + "*phone *addon_id card_number \n", + "+------------+ +----------+ +------------+\n", + "57739576919 1 60400630491 \n", + "13185990415 2 60400744029 \n", + "95867190471 1 60402177269 \n", + "74932324173 1 60404678041 \n", + "74932324173 2 60404678041 \n", + "74932324173 3 60404678041 \n", + "54717139763 3 60405261136 \n", + "66966252830 1 60406800650 \n", + "35067438860 1 60410940211 \n", + "50651554632 1 60413723457 \n", + "25674636975 1 60416322612 \n", + "25674636975 2 60416322612 \n", + " ...\n", + " (Total: 5000)" ] }, - "execution_count": 20, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "AddOn()" + "Purchase()" ] }, { - "cell_type": "code", - "execution_count": 21, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "@schema\n", - "class Purchase(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Account\n", - " -> AddOn\n", - " ---\n", - " -> CreditCard\n", - " \"\"\"" + "# Queries\n", + "\n", + "## Simple queries" ] }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -339,134 +317,4237 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

card_number

\n", - " \n", - "
\n", - "

exp_date

\n", + "

phone

\n", " \n", "
\n", - "

cvc

\n", + "

first_name

\n", " \n", "
\n", - "

zipcode

\n", + "

last_name

\n", " \n", "
\n", - "

phone

\n", + "

dob

\n", " \n", "
302327288629992023-10-09709283214709094729
10008004398ThomasLi2009-05-22
10010213238StaceyMitchell2015-10-02
10012512171JamesHenderson1920-10-09
10017661220DonaldAnderson1955-04-16
10025696662JamesSmall2016-12-29
10037061898DeborahFoley1929-02-06
10046294691GwendolynTurner2020-12-19
10046839321MarciaMartinez1990-07-15
10068182298VictorClark1986-09-13
10070173668RonaldDuffy1969-03-23
10070547405LeahPratt1986-06-06
10079669194RyanJohnson1978-03-08
\n", - " \n", - "

Total: 1

\n", + "

...

\n", + "

Total: 10001

\n", " " ], "text/plain": [ - "*card_number exp_date cvc zipcode phone \n", - "+------------+ +------------+ +-----+ +---------+ +------------+\n", - "30232728862999 2023-10-09 709 2832 14709094729 \n", - " (Total: 1)" + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10008004398 Thomas Li 2009-05-22 \n", + "10010213238 Stacey Mitchell 2015-10-02 \n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10025696662 James Small 2016-12-29 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10068182298 Victor Clark 1986-09-13 \n", + "10070173668 Ronald Duffy 1969-03-23 \n", + "10070547405 Leah Pratt 1986-06-06 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + " ...\n", + " (Total: 10001)" ] }, - "execution_count": 67, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "CreditCard()" + "Account()" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "" - ], "text/plain": [ - "" + "[{'phone': 10008004398,\n", + " 'first_name': 'Thomas',\n", + " 'last_name': 'Li',\n", + " 'dob': datetime.date(2009, 5, 22)},\n", + " {'phone': 10010213238,\n", + " 'first_name': 'Stacey',\n", + " 'last_name': 'Mitchell',\n", + " 'dob': datetime.date(2015, 10, 2)},\n", + " {'phone': 10012512171,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Henderson',\n", + " 'dob': datetime.date(1920, 10, 9)},\n", + " {'phone': 10017661220,\n", + " 'first_name': 'Donald',\n", + " 'last_name': 'Anderson',\n", + " 'dob': datetime.date(1955, 4, 16)},\n", + " {'phone': 10025696662,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Small',\n", + " 'dob': datetime.date(2016, 12, 29)},\n", + " {'phone': 10037061898,\n", + " 'first_name': 'Deborah',\n", + " 'last_name': 'Foley',\n", + " 'dob': datetime.date(1929, 2, 6)},\n", + " {'phone': 10046294691,\n", + " 'first_name': 'Gwendolyn',\n", + " 'last_name': 'Turner',\n", + " 'dob': datetime.date(2020, 12, 19)},\n", + " {'phone': 10046839321,\n", + " 'first_name': 'Marcia',\n", + " 'last_name': 'Martinez',\n", + " 'dob': datetime.date(1990, 7, 15)},\n", + " {'phone': 10068182298,\n", + " 'first_name': 'Victor',\n", + " 'last_name': 'Clark',\n", + " 'dob': datetime.date(1986, 9, 13)},\n", + " {'phone': 10070173668,\n", + " 'first_name': 'Ronald',\n", + " 'last_name': 'Duffy',\n", + " 'dob': datetime.date(1969, 3, 23)},\n", + " {'phone': 10070547405,\n", + " 'first_name': 'Leah',\n", + " 'last_name': 'Pratt',\n", + " 'dob': datetime.date(1986, 6, 6)},\n", + " {'phone': 10079669194,\n", + " 'first_name': 'Ryan',\n", + " 'last_name': 'Johnson',\n", + " 'dob': datetime.date(1978, 3, 8)},\n", + " {'phone': 10092945283,\n", + " 'first_name': 'Deanna',\n", + " 'last_name': 'Hayes',\n", + " 'dob': datetime.date(2015, 8, 16)},\n", + " {'phone': 10095918854,\n", + " 'first_name': 'Raymond',\n", + " 'last_name': 'Adams',\n", + " 'dob': datetime.date(2018, 5, 22)},\n", + " {'phone': 10099464091,\n", + " 'first_name': 'Matthew',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1949, 5, 4)},\n", + " {'phone': 10102995813,\n", + " 'first_name': 'David',\n", + " 'last_name': 'Young',\n", + " 'dob': datetime.date(1923, 12, 29)},\n", + " {'phone': 10116323806,\n", + " 'first_name': 'Scott',\n", + " 'last_name': 'Hernandez',\n", + " 'dob': datetime.date(1930, 11, 1)},\n", + " {'phone': 10120727834,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Rodriguez',\n", + " 'dob': datetime.date(1951, 4, 10)},\n", + " {'phone': 10127762503,\n", + " 'first_name': 'Tracy',\n", + " 'last_name': 'Mack',\n", + " 'dob': datetime.date(1970, 4, 14)},\n", + " {'phone': 10151756488,\n", + " 'first_name': 'Chelsea',\n", + " 'last_name': 'Cox',\n", + " 'dob': datetime.date(1940, 12, 19)},\n", + " {'phone': 10152397506,\n", + " 'first_name': 'James',\n", + " 'last_name': 'Wade',\n", + " 'dob': datetime.date(1963, 4, 15)},\n", + " {'phone': 10153686421,\n", + " 'first_name': 'Aaron',\n", + " 'last_name': 'Bradley',\n", + " 'dob': datetime.date(1912, 2, 4)},\n", + " {'phone': 10166849316,\n", + " 'first_name': 'Benjamin',\n", + " 'last_name': 'Gomez',\n", + " 'dob': datetime.date(1929, 4, 24)},\n", + " {'phone': 10169406225,\n", + " 'first_name': 'Jennifer',\n", + " 'last_name': 'Reid',\n", + " 'dob': datetime.date(1954, 9, 30)},\n", + " {'phone': 10178738339,\n", + " 'first_name': 'Sarah',\n", + " 'last_name': 'Barnes',\n", + " 'dob': datetime.date(1924, 6, 25)},\n", + " {'phone': 10199189001,\n", + " 'first_name': 'Paul',\n", + " 'last_name': 'Johnson',\n", + " 'dob': datetime.date(1973, 8, 14)},\n", + " {'phone': 10206755444,\n", + " 'first_name': 'Kendra',\n", + " 'last_name': 'Schaefer',\n", + " 'dob': datetime.date(1954, 12, 11)},\n", + " {'phone': 10219719840,\n", + " 'first_name': 'Matthew',\n", + " 'last_name': 'Roberts',\n", + " 'dob': datetime.date(1979, 11, 21)},\n", + " {'phone': 10225542960,\n", + " 'first_name': 'Shawn',\n", + " 'last_name': 'Peterson',\n", + " 'dob': datetime.date(1927, 1, 14)},\n", + " {'phone': 10229438507,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Coleman',\n", + " 'dob': datetime.date(1984, 11, 23)},\n", + " {'phone': 10235975638,\n", + " 'first_name': 'Kimberly',\n", + " 'last_name': 'Novak',\n", + " 'dob': datetime.date(1913, 3, 1)},\n", + " {'phone': 10251975990,\n", + " 'first_name': 'Daniel',\n", + " 'last_name': 'Romero',\n", + " 'dob': datetime.date(1952, 11, 22)},\n", + " {'phone': 10269984308,\n", + " 'first_name': 'Ashley',\n", + " 'last_name': 'Page',\n", + " 'dob': datetime.date(1929, 3, 14)},\n", + " {'phone': 10271564710,\n", + " 'first_name': 'Juan',\n", + " 'last_name': 'Cook',\n", + " 'dob': datetime.date(1951, 5, 25)},\n", + " {'phone': 10279670908,\n", + " 'first_name': 'John',\n", + " 'last_name': 'Mullins',\n", + " 'dob': datetime.date(1944, 7, 28)},\n", + " {'phone': 10291521740,\n", + " 'first_name': 'Melissa',\n", + " 'last_name': 'Davis',\n", + " 'dob': datetime.date(1983, 4, 26)},\n", + " {'phone': 10293133275,\n", + " 'first_name': 'Glenn',\n", + " 'last_name': 'Diaz',\n", + " 'dob': datetime.date(2017, 9, 7)},\n", + " {'phone': 10300923098,\n", + " 'first_name': 'Angela',\n", + " 'last_name': 'Perry',\n", + " 'dob': datetime.date(1908, 9, 10)},\n", + " {'phone': 10303625356,\n", + " 'first_name': 'Rebecca',\n", + " 'last_name': 'Griffith',\n", + " 'dob': datetime.date(1975, 1, 10)},\n", + " {'phone': 10313226393,\n", + " 'first_name': 'Eric',\n", + " 'last_name': 'Mann',\n", + " 'dob': datetime.date(1925, 11, 1)},\n", + " {'phone': 10314223023,\n", + " 'first_name': 'Michelle',\n", + " 'last_name': 'Forbes',\n", + " 'dob': datetime.date(1921, 5, 17)},\n", + " {'phone': 10322518482,\n", + " 'first_name': 'Brian',\n", + " 'last_name': 'Guzman',\n", + " 'dob': datetime.date(1946, 3, 29)},\n", + " {'phone': 10333220637,\n", + " 'first_name': 'Ashley',\n", + " 'last_name': 'Briggs',\n", + " 'dob': datetime.date(1950, 11, 27)},\n", + " {'phone': 10337689941,\n", + " 'first_name': 'Joshua',\n", + " 'last_name': 'Richardson',\n", + " 'dob': datetime.date(1979, 5, 9)},\n", + " {'phone': 10357141286,\n", + " 'first_name': 'Christopher',\n", + " 'last_name': 'Morris',\n", + " 'dob': datetime.date(1932, 12, 13)},\n", + " {'phone': 10358819974,\n", + " 'first_name': 'Christina',\n", + " 'last_name': 'Williams',\n", + " 'dob': datetime.date(1912, 3, 4)},\n", + " {'phone': 10369946038,\n", + " 'first_name': 'Terrence',\n", + " 'last_name': 'Jones',\n", + " 'dob': datetime.date(1965, 11, 11)},\n", + " {'phone': 10405413361,\n", + " 'first_name': 'Kristin',\n", + " 'last_name': 'Williams',\n", + " 'dob': datetime.date(1998, 8, 11)},\n", + " {'phone': 10421485185,\n", + " 'first_name': 'Julie',\n", + " 'last_name': 'Jones',\n", + " 'dob': datetime.date(1989, 1, 11)},\n", + " {'phone': 10422669197,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Thomas',\n", + " 'dob': datetime.date(2012, 2, 29)},\n", + " {'phone': 10433061621,\n", + " 'first_name': 'Mark',\n", + " 'last_name': 'Whitaker',\n", + " 'dob': datetime.date(1994, 10, 13)},\n", + " {'phone': 10445431947,\n", + " 'first_name': 'Brandi',\n", + " 'last_name': 'Gallagher',\n", + " 'dob': datetime.date(1942, 2, 25)},\n", + " {'phone': 10451478023,\n", + " 'first_name': 'Diane',\n", + " 'last_name': 'Davis',\n", + " 'dob': datetime.date(1919, 12, 31)},\n", + " {'phone': 10453924485,\n", + " 'first_name': 'Terri',\n", + " 'last_name': 'Griffin',\n", + " 'dob': datetime.date(1910, 5, 30)},\n", + " {'phone': 10454308663,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1945, 8, 14)},\n", + " {'phone': 10455743181,\n", + " 'first_name': 'Joseph',\n", + " 'last_name': 'Wright',\n", + " 'dob': datetime.date(1965, 9, 19)},\n", + " {'phone': 10460216558,\n", + " 'first_name': 'Cheyenne',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1982, 6, 11)},\n", + " {'phone': 10460768752,\n", + " 'first_name': 'Kendra',\n", + " 'last_name': 'Harris',\n", + " 'dob': datetime.date(1928, 3, 11)},\n", + " {'phone': 10469840549,\n", + " 'first_name': 'Wendy',\n", + " 'last_name': 'Page',\n", + " 'dob': datetime.date(1936, 1, 19)},\n", + " {'phone': 10474564084,\n", + " 'first_name': 'Michelle',\n", + " 'last_name': 'Grant',\n", + " 'dob': datetime.date(2020, 5, 2)},\n", + " {'phone': 10477362148,\n", + " 'first_name': 'Sarah',\n", + " 'last_name': 'Wilson',\n", + " 'dob': datetime.date(2006, 2, 13)},\n", + " {'phone': 10478678300,\n", + " 'first_name': 'Brian',\n", + " 'last_name': 'Johnson',\n", + " 'dob': datetime.date(2006, 1, 11)},\n", + " {'phone': 10483637535,\n", + " 'first_name': 'William',\n", + " 'last_name': 'Ortiz',\n", + " 'dob': datetime.date(1972, 12, 31)},\n", + " {'phone': 10486571108,\n", + " 'first_name': 'William',\n", + " 'last_name': 'Clark',\n", + " 'dob': datetime.date(1930, 12, 29)},\n", + " {'phone': 10487938537,\n", + " 'first_name': 'Lisa',\n", + " 'last_name': 'Padilla',\n", + " 'dob': datetime.date(2013, 6, 10)},\n", + " {'phone': 10496786948,\n", + " 'first_name': 'Andrew',\n", + " 'last_name': 'Carter',\n", + " 'dob': datetime.date(2001, 5, 2)},\n", + " {'phone': 10502539419,\n", + " 'first_name': 'Zachary',\n", + " 'last_name': 'Salazar',\n", + " 'dob': datetime.date(1972, 5, 20)},\n", + " {'phone': 10509334361,\n", + " 'first_name': 'Timothy',\n", + " 'last_name': 'Mccarthy',\n", + " 'dob': datetime.date(1952, 12, 20)},\n", + " {'phone': 10525627170,\n", + " 'first_name': 'Stephen',\n", + " 'last_name': 'Middleton',\n", + " 'dob': datetime.date(1922, 10, 21)},\n", + " {'phone': 10535081800,\n", + " 'first_name': 'John',\n", + " 'last_name': 'Mcmahon',\n", + " 'dob': datetime.date(1929, 1, 30)},\n", + " {'phone': 10538550011,\n", + " 'first_name': 'Heather',\n", + " 'last_name': 'Moore',\n", + " 'dob': datetime.date(1951, 3, 31)},\n", + " {'phone': 10558660459,\n", + " 'first_name': 'Riley',\n", + " 'last_name': 'Johnson',\n", + " 'dob': datetime.date(1991, 12, 18)},\n", + " {'phone': 10570544388,\n", + " 'first_name': 'Norma',\n", + " 'last_name': 'Contreras',\n", + " 'dob': datetime.date(1972, 8, 1)},\n", + " {'phone': 10606206147,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Rasmussen',\n", + " 'dob': datetime.date(1955, 8, 11)},\n", + " {'phone': 10633593317,\n", + " 'first_name': 'Victoria',\n", + " 'last_name': 'Bailey',\n", + " 'dob': datetime.date(1926, 7, 8)},\n", + " {'phone': 10661381021,\n", + " 'first_name': 'Kenneth',\n", + " 'last_name': 'Shaffer',\n", + " 'dob': datetime.date(1946, 9, 7)},\n", + " {'phone': 10682187996,\n", + " 'first_name': 'Sandra',\n", + " 'last_name': 'Hernandez',\n", + " 'dob': datetime.date(1934, 3, 11)},\n", + " {'phone': 10683411757,\n", + " 'first_name': 'Catherine',\n", + " 'last_name': 'Thompson',\n", + " 'dob': datetime.date(1942, 7, 7)},\n", + " {'phone': 10686247769,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Warren',\n", + " 'dob': datetime.date(1942, 2, 11)},\n", + " {'phone': 10707760582,\n", + " 'first_name': 'Gregory',\n", + " 'last_name': 'Jenkins',\n", + " 'dob': datetime.date(2009, 8, 18)},\n", + " {'phone': 10718839940,\n", + " 'first_name': 'Andrew',\n", + " 'last_name': 'Robinson',\n", + " 'dob': datetime.date(1938, 1, 4)},\n", + " {'phone': 10722472340,\n", + " 'first_name': 'Heidi',\n", + " 'last_name': 'Callahan',\n", + " 'dob': datetime.date(1932, 1, 5)},\n", + " {'phone': 10734349722,\n", + " 'first_name': 'Kenneth',\n", + " 'last_name': 'Graves',\n", + " 'dob': datetime.date(1932, 10, 16)},\n", + " {'phone': 10736390837,\n", + " 'first_name': 'Tyler',\n", + " 'last_name': 'Bell',\n", + " 'dob': datetime.date(2005, 2, 24)},\n", + " {'phone': 10749885443,\n", + " 'first_name': 'Erica',\n", + " 'last_name': 'Williams',\n", + " 'dob': datetime.date(1961, 12, 15)},\n", + " {'phone': 10754601905,\n", + " 'first_name': 'Monica',\n", + " 'last_name': 'King',\n", + " 'dob': datetime.date(1909, 8, 1)},\n", + " {'phone': 10779778109,\n", + " 'first_name': 'Chris',\n", + " 'last_name': 'Johnson',\n", + " 'dob': datetime.date(1961, 8, 7)},\n", + " {'phone': 10782010443,\n", + " 'first_name': 'Amber',\n", + " 'last_name': 'Walters',\n", + " 'dob': datetime.date(1933, 2, 12)},\n", + " {'phone': 10789671183,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Rush',\n", + " 'dob': datetime.date(1913, 12, 31)},\n", + " {'phone': 10795604236,\n", + " 'first_name': 'Elizabeth',\n", + " 'last_name': 'Kirby',\n", + " 'dob': datetime.date(1990, 11, 15)},\n", + " {'phone': 10807995767,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Collins',\n", + " 'dob': datetime.date(1958, 8, 4)},\n", + " {'phone': 10809328694,\n", + " 'first_name': 'Tammy',\n", + " 'last_name': 'Garcia',\n", + " 'dob': datetime.date(2022, 8, 7)},\n", + " {'phone': 10830155464,\n", + " 'first_name': 'Megan',\n", + " 'last_name': 'Mejia',\n", + " 'dob': datetime.date(1996, 7, 30)},\n", + " {'phone': 10844022864,\n", + " 'first_name': 'Gary',\n", + " 'last_name': 'Rogers',\n", + " 'dob': datetime.date(1927, 4, 10)},\n", + " {'phone': 10852186030,\n", + " 'first_name': 'Tracie',\n", + " 'last_name': 'Barrera',\n", + " 'dob': datetime.date(1977, 7, 21)},\n", + " {'phone': 10856332024,\n", + " 'first_name': 'Cynthia',\n", + " 'last_name': 'Powell',\n", + " 'dob': datetime.date(1961, 1, 5)},\n", + " {'phone': 10862836412,\n", + " 'first_name': 'Randy',\n", + " 'last_name': 'Sanchez',\n", + " 'dob': datetime.date(2018, 9, 21)},\n", + " {'phone': 10866470978,\n", + " 'first_name': 'Jessica',\n", + " 'last_name': 'Martin',\n", + " 'dob': datetime.date(2007, 5, 24)},\n", + " {'phone': 10867675149,\n", + " 'first_name': 'Diana',\n", + " 'last_name': 'Cole',\n", + " 'dob': datetime.date(1932, 8, 30)},\n", + " {'phone': 10911380295,\n", + " 'first_name': 'Elizabeth',\n", + " 'last_name': 'Adams',\n", + " 'dob': datetime.date(1932, 3, 10)},\n", + " {'phone': 10934227204,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Nielsen',\n", + " 'dob': datetime.date(2011, 1, 2)},\n", + " {'phone': 10943944657,\n", + " 'first_name': 'John',\n", + " 'last_name': 'Gonzalez',\n", + " 'dob': datetime.date(1924, 8, 16)},\n", + " {'phone': 10952154977,\n", + " 'first_name': 'Martha',\n", + " 'last_name': 'Garcia',\n", + " 'dob': datetime.date(1918, 11, 26)},\n", + " {'phone': 10972296805,\n", + " 'first_name': 'Matthew',\n", + " 'last_name': 'Gardner',\n", + " 'dob': datetime.date(1939, 7, 21)},\n", + " {'phone': 10975381325,\n", + " 'first_name': 'Donald',\n", + " 'last_name': 'Craig',\n", + " 'dob': datetime.date(1989, 2, 19)},\n", + " {'phone': 11003850518,\n", + " 'first_name': 'Brian',\n", + " 'last_name': 'Allen',\n", + " 'dob': datetime.date(1932, 9, 27)},\n", + " {'phone': 11010697385,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1938, 12, 28)},\n", + " {'phone': 11024050487,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Roberson',\n", + " 'dob': datetime.date(1959, 5, 27)},\n", + " {'phone': 11035029142,\n", + " 'first_name': 'Jose',\n", + " 'last_name': 'Allen',\n", + " 'dob': datetime.date(1991, 10, 4)},\n", + " {'phone': 11042206328,\n", + " 'first_name': 'Brittany',\n", + " 'last_name': 'Wilson',\n", + " 'dob': datetime.date(2015, 6, 26)},\n", + " {'phone': 11044830752,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Wilson',\n", + " 'dob': datetime.date(1968, 2, 5)},\n", + " {'phone': 11066312939,\n", + " 'first_name': 'Kayla',\n", + " 'last_name': 'Swanson',\n", + " 'dob': datetime.date(2016, 8, 17)},\n", + " {'phone': 11075734139,\n", + " 'first_name': 'Kenneth',\n", + " 'last_name': 'Sanchez',\n", + " 'dob': datetime.date(1997, 9, 17)},\n", + " {'phone': 11089394344,\n", + " 'first_name': 'Joshua',\n", + " 'last_name': 'Sparks',\n", + " 'dob': datetime.date(1982, 8, 6)},\n", + " {'phone': 11110295679,\n", + " 'first_name': 'Barbara',\n", + " 'last_name': 'Campbell',\n", + " 'dob': datetime.date(1969, 6, 19)},\n", + " {'phone': 11128245938,\n", + " 'first_name': 'Laurie',\n", + " 'last_name': 'Smith',\n", + " 'dob': datetime.date(1963, 3, 7)},\n", + " {'phone': 11157317272,\n", + " 'first_name': 'Kayla',\n", + " 'last_name': 'Ruiz',\n", + " 'dob': datetime.date(1986, 5, 29)},\n", + " {'phone': 11158833057,\n", + " 'first_name': 'Brian',\n", + " 'last_name': 'Chung',\n", + " 'dob': datetime.date(1983, 10, 17)},\n", + " {'phone': 11168176450,\n", + " 'first_name': 'Kenneth',\n", + " 'last_name': 'Wilson',\n", + " 'dob': datetime.date(1990, 2, 24)},\n", + " {'phone': 11180863670,\n", + " 'first_name': 'Joseph',\n", + " 'last_name': 'Leonard',\n", + " 'dob': datetime.date(1918, 5, 20)},\n", + " {'phone': 11181317738,\n", + " 'first_name': 'Michelle',\n", + " 'last_name': 'Morris',\n", + " 'dob': datetime.date(1963, 8, 9)},\n", + " {'phone': 11194304584,\n", + " 'first_name': 'Matthew',\n", + " 'last_name': 'Lucas',\n", + " 'dob': datetime.date(2003, 3, 25)},\n", + " {'phone': 11213984269,\n", + " 'first_name': 'Andrea',\n", + " 'last_name': 'Montgomery',\n", + " 'dob': datetime.date(1952, 6, 28)},\n", + " {'phone': 11216696015,\n", + " 'first_name': 'Elizabeth',\n", 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" 'dob': datetime.date(1973, 9, 4)},\n", + " {'phone': 18978084445,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Hernandez',\n", + " 'dob': datetime.date(1933, 1, 2)},\n", + " {'phone': 18985036761,\n", + " 'first_name': 'Victoria',\n", + " 'last_name': 'Stokes',\n", + " 'dob': datetime.date(1987, 6, 25)},\n", + " {'phone': 18997514574,\n", + " 'first_name': 'Jill',\n", + " 'last_name': 'Holloway',\n", + " 'dob': datetime.date(2001, 9, 1)},\n", + " {'phone': 19014429804,\n", + " 'first_name': 'Christopher',\n", + " 'last_name': 'Cruz',\n", + " 'dob': datetime.date(1995, 12, 24)},\n", + " {'phone': 19014775638,\n", + " 'first_name': 'Robert',\n", + " 'last_name': 'Nguyen',\n", + " 'dob': datetime.date(2020, 7, 5)},\n", + " {'phone': 19019618888,\n", + " 'first_name': 'Trevor',\n", + " 'last_name': 'Jones',\n", + " 'dob': datetime.date(1971, 10, 14)},\n", + " {'phone': 19020866208,\n", + " 'first_name': 'Kimberly',\n", + " 'last_name': 'Davis',\n", + " 'dob': 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11740091844,\n", + " 'first_name': 'Larry',\n", + " 'last_name': 'Acosta',\n", + " 'dob': datetime.date(1948, 3, 18)},\n", + " {'phone': 25514353782,\n", + " 'first_name': 'Lauren',\n", + " 'last_name': 'Acosta',\n", + " 'dob': datetime.date(1952, 3, 14)}]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account.fetch(as_dict=True, order_by=('last_name', 'first_name'), limit=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'phone': 53932761114,\n", + " 'first_name': 'Sara',\n", + " 'last_name': 'Shelton',\n", + " 'dob': datetime.date(2022, 8, 20)},\n", + " {'phone': 60517459688,\n", + " 'first_name': 'Shawn',\n", + " 'last_name': 'Cross',\n", + " 'dob': datetime.date(2022, 8, 10)},\n", + " {'phone': 10809328694,\n", + " 'first_name': 'Tammy',\n", + " 'last_name': 'Garcia',\n", + " 'dob': datetime.date(2022, 8, 7)},\n", + " {'phone': 66955470314,\n", + " 'first_name': 'Kenneth',\n", + " 'last_name': 'Sparks',\n", + " 'dob': datetime.date(2022, 8, 5)},\n", + " {'phone': 29576059858,\n", + " 'first_name': 'Zachary',\n", + " 'last_name': 'Ferguson',\n", + " 'dob': datetime.date(2022, 8, 2)},\n", + " {'phone': 88537153513,\n", + " 'first_name': 'Adam',\n", + " 'last_name': 'Thomas',\n", + " 'dob': datetime.date(2022, 7, 24)},\n", + " {'phone': 72212204485,\n", + " 'first_name': 'Daniel',\n", + " 'last_name': 'Hutchinson',\n", + " 'dob': datetime.date(2022, 7, 18)},\n", + " {'phone': 63094466207,\n", + " 'first_name': 'Lonnie',\n", + " 'last_name': 'Tyler',\n", + " 'dob': datetime.date(2022, 7, 15)},\n", + " {'phone': 57745712433,\n", + " 'first_name': 'Justin',\n", + " 'last_name': 'Miles',\n", + " 'dob': datetime.date(2022, 7, 10)},\n", + " {'phone': 69235537483,\n", + " 'first_name': 'Michael',\n", + " 'last_name': 'Taylor',\n", + " 'dob': datetime.date(2022, 7, 10)}]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account.fetch(as_dict=True, order_by=('dob DESC'), limit=10, offset=100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Restriction (selecting rows)\n", + "In SQL, this is the `WHERE` clause. In DataJoint, we use operators `&` and `-`." + ] + }, + { + "cell_type": "code", + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -536,76 +4617,38 @@ "
\n", "

last_name

\n", " \n", + "
\n", + "

dob

\n", + " \n", "
\n", - " \n", + " 69235537483\n", + "Michael\n", + "Taylor\n", + "2022-07-10 \n", " \n", " \n", - "

Total: 0

\n", + "

Total: 1

\n", " " ], "text/plain": [ - "*phone first_name last_name \n", - "+-------+ +------------+ +-----------+\n", - "\n", - " (Total: 0)" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Account()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "Account.insert1(dict(\n", - " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", - " first_name=fake.first_name(),\n", - " last_name=fake.last_name()))" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "Account.insert(dict(\n", - " phone=fake.random_int(1_000_000_0000, 9_999_999_9999),\n", - " first_name=fake.first_name(),\n", - " last_name=fake.last_name()) for _ in range(10000))" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "65536" + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "69235537483 Michael Taylor 2022-07-10 \n", + " (Total: 1)" ] }, - "execution_count": 64, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "2**16" + "Account() & {'phone': 69235537483}" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -675,68 +4718,83 @@ "
\n", "

last_name

\n", " \n", + "
\n", + "

dob

\n", + " \n", "
\n", - " 10004941735\n", - "Allison\n", - "Underwood10025366473\n", - "Christopher\n", - "Petty10044826023\n", - "Alan\n", - "Reynolds10050836680\n", - "Andrew\n", - "Morrison10051646762\n", - "Katherine\n", - "Delgado10057979176\n", - "Debbie\n", - "Zimmerman10067431110\n", - "Drew\n", - "Reed10070524656\n", - "Johnathan\n", - "Rodriguez10072025793\n", - "Brent\n", - "Miller10077808909\n", - "Jennifer\n", - "Young10095411023\n", - "Ashley\n", - "Jones10096339067\n", - "Stephanie\n", - "Mullins \n", + " 10229438507\n", + "Michael\n", + "Coleman\n", + "1984-11-2310454308663\n", + "Michael\n", + "Smith\n", + "1945-08-1410606206147\n", + "Michael\n", + "Rasmussen\n", + "1955-08-1110686247769\n", + "Michael\n", + "Warren\n", + "1942-02-1110789671183\n", + "Michael\n", + "Rush\n", + "1913-12-3110807995767\n", + "Michael\n", + "Collins\n", + "1958-08-0410934227204\n", + "Michael\n", + "Nielsen\n", + "2011-01-0211024050487\n", + "Michael\n", + "Roberson\n", + "1959-05-2711470574946\n", + "Michael\n", + "Wilson\n", + "2019-12-1411830659746\n", + "Michael\n", + "Rodriguez\n", + "1936-11-2012284064601\n", + "Michael\n", + "Davis\n", + "1917-09-0712573843141\n", + "Michael\n", + "Simmons\n", + "1933-07-27 \n", " \n", "

...

\n", - "

Total: 10003

\n", + "

Total: 243

\n", " " ], "text/plain": [ - "*phone first_name last_name \n", - "+------------+ +------------+ +-----------+\n", - "10004941735 Allison Underwood \n", - "10025366473 Christopher Petty \n", - "10044826023 Alan Reynolds \n", - "10050836680 Andrew Morrison \n", - "10051646762 Katherine Delgado \n", - "10057979176 Debbie Zimmerman \n", - "10067431110 Drew Reed \n", - "10070524656 Johnathan Rodriguez \n", - "10072025793 Brent Miller \n", - "10077808909 Jennifer Young \n", - "10095411023 Ashley Jones \n", - "10096339067 Stephanie Mullins \n", + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10229438507 Michael Coleman 1984-11-23 \n", + "10454308663 Michael Smith 1945-08-14 \n", + "10606206147 Michael Rasmussen 1955-08-11 \n", + "10686247769 Michael Warren 1942-02-11 \n", + "10789671183 Michael Rush 1913-12-31 \n", + "10807995767 Michael Collins 1958-08-04 \n", + "10934227204 Michael Nielsen 2011-01-02 \n", + "11024050487 Michael Roberson 1959-05-27 \n", + "11470574946 Michael Wilson 2019-12-14 \n", + "11830659746 Michael Rodriguez 1936-11-20 \n", + "12284064601 Michael Davis 1917-09-07 \n", + "12573843141 Michael Simmons 1933-07-27 \n", " ...\n", - " (Total: 10003)" + " (Total: 243)" ] }, - "execution_count": 37, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Account()" + "Account() & {'first_name': 'Michael'}" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -798,203 +4856,2951 @@ "
\n", " \n", " \n", - " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", - "

card_number

\n", - " \n", - "
\n", - "

exp_date

\n", + "

phone

\n", " \n", "
\n", - "

cvc

\n", + "

first_name

\n", " \n", "
\n", - "

zipcode

\n", + "

last_name

\n", " \n", "
\n", - "

phone

\n", + "

dob

\n", " \n", "
10229438507MichaelColeman1984-11-23
10454308663MichaelSmith1945-08-14
10606206147MichaelRasmussen1955-08-11
10686247769MichaelWarren1942-02-11
10789671183MichaelRush1913-12-31
10807995767MichaelCollins1958-08-04
10934227204MichaelNielsen2011-01-02
11024050487MichaelRoberson1959-05-27
11470574946MichaelWilson2019-12-14
11830659746MichaelRodriguez1936-11-20
12284064601MichaelDavis1917-09-07
12573843141MichaelSimmons1933-07-27
\n", + "

...

\n", + "

Total: 243

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10229438507 Michael Coleman 1984-11-23 \n", + "10454308663 Michael Smith 1945-08-14 \n", + "10606206147 Michael Rasmussen 1955-08-11 \n", + "10686247769 Michael Warren 1942-02-11 \n", + "10789671183 Michael Rush 1913-12-31 \n", + "10807995767 Michael Collins 1958-08-04 \n", + "10934227204 Michael Nielsen 2011-01-02 \n", + "11024050487 Michael Roberson 1959-05-27 \n", + "11470574946 Michael Wilson 2019-12-14 \n", + "11830659746 Michael Rodriguez 1936-11-20 \n", + "12284064601 Michael Davis 1917-09-07 \n", + "12573843141 Michael Simmons 1933-07-27 \n", + " ...\n", + " (Total: 243)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & 'first_name=\"Michael\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", + "

phone

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\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
26784298578AnneWeber2015-04-09
56997124464AnneHarris2006-12-27
71445368084AnneJoseph2004-01-31
80176672017AnneGarcia2009-09-18
\n", " \n", - "

Total: 0

\n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "26784298578 Anne Weber 2015-04-09 \n", + "56997124464 Anne Harris 2006-12-27 \n", + "71445368084 Anne Joseph 2004-01-31 \n", + "80176672017 Anne Garcia 2009-09-18 \n", + " (Total: 4)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & 'first_name=\"Anne\"' & 'dob > \"2001-01-01\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

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\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
11866584516RussellKennedy2023-07-11
13472726485RobertJensen2023-03-13
16670831184LindaClay2023-05-08
19363171118LoganBrooks2023-04-26
20316740126CindyBishop2023-09-20
22318026657ChristopherChavez2023-03-07
22969160297RachelHolmes2023-03-12
23952589751WilliamWebb2023-08-06
24814918574AaronButler2023-04-05
25922340862SharonSantiago2023-03-24
27111673313SarahTrevino2023-04-16
27150590622ThomasBrown2023-08-14
\n", + "

...

\n", + "

Total: 68

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "11866584516 Russell Kennedy 2023-07-11 \n", + "13472726485 Robert Jensen 2023-03-13 \n", + "16670831184 Linda Clay 2023-05-08 \n", + "19363171118 Logan Brooks 2023-04-26 \n", + "20316740126 Cindy Bishop 2023-09-20 \n", + "22318026657 Christopher Chavez 2023-03-07 \n", + "22969160297 Rachel Holmes 2023-03-12 \n", + "23952589751 William Webb 2023-08-06 \n", + "24814918574 Aaron Butler 2023-04-05 \n", + "25922340862 Sharon Santiago 2023-03-24 \n", + "27111673313 Sarah Trevino 2023-04-16 \n", + "27150590622 Thomas Brown 2023-08-14 \n", + " ...\n", + " (Total: 68)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & 'DATEDIFF(now(), dob) < 300'" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10008004398ThomasLi2009-05-22
10010213238StaceyMitchell2015-10-02
10012512171JamesHenderson1920-10-09
10017661220DonaldAnderson1955-04-16
10025696662JamesSmall2016-12-29
10037061898DeborahFoley1929-02-06
10046294691GwendolynTurner2020-12-19
10046839321MarciaMartinez1990-07-15
10068182298VictorClark1986-09-13
10070173668RonaldDuffy1969-03-23
10070547405LeahPratt1986-06-06
10079669194RyanJohnson1978-03-08
\n", + "

...

\n", + "

Total: 9933

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10008004398 Thomas Li 2009-05-22 \n", + "10010213238 Stacey Mitchell 2015-10-02 \n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10025696662 James Small 2016-12-29 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10068182298 Victor Clark 1986-09-13 \n", + "10070173668 Ronald Duffy 1969-03-23 \n", + "10070547405 Leah Pratt 1986-06-06 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + " ...\n", + " (Total: 9933)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account - 'DATEDIFF(now(), dob) < 300'" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "millennials = Account & 'dob > \"1978-01-01\"' & 'dob < \"1997-01-01\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

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\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10229438507MichaelColeman1984-11-23
15111017913MichaelTaylor1996-02-26
16036134391MichaelFord1978-09-16
16624858863MichaelMiles1991-11-14
17173339412MichaelMorse1978-09-07
21348118081MichaelDavila1979-02-06
22741631510MichaelWilliams1986-01-09
23202751730MichaelDennis1988-07-27
24034846216MichaelThompson1991-01-20
24551728814MichaelFarrell1995-09-23
25288932813MichaelJohnson1984-10-10
25485068077MichaelBarnes1980-10-15
\n", + "

...

\n", + "

Total: 46

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10229438507 Michael Coleman 1984-11-23 \n", + "15111017913 Michael Taylor 1996-02-26 \n", + "16036134391 Michael Ford 1978-09-16 \n", + "16624858863 Michael Miles 1991-11-14 \n", + "17173339412 Michael Morse 1978-09-07 \n", + "21348118081 Michael Davila 1979-02-06 \n", + "22741631510 Michael Williams 1986-01-09 \n", + "23202751730 Michael Dennis 1988-07-27 \n", + "24034846216 Michael Thompson 1991-01-20 \n", + "24551728814 Michael Farrell 1995-09-23 \n", + "25288932813 Michael Johnson 1984-10-10 \n", + "25485068077 Michael Barnes 1980-10-15 \n", + " ...\n", + " (Total: 46)" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "millennials & 'first_name=\"Michael\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "millennials = Account & 'dob BETWEEN \"1978-01-01\" AND \"1997-01-01\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10046839321MarciaMartinez1990-07-15
10068182298VictorClark1986-09-13
10070547405LeahPratt1986-06-06
10079669194RyanJohnson1978-03-08
10219719840MatthewRoberts1979-11-21
10229438507MichaelColeman1984-11-23
10291521740MelissaDavis1983-04-26
10337689941JoshuaRichardson1979-05-09
10421485185JulieJones1989-01-11
10433061621MarkWhitaker1994-10-13
10460216558CheyenneSmith1982-06-11
10558660459RileyJohnson1991-12-18
\n", + "

...

\n", + "

Total: 1562

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +------------+ +------------+\n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10068182298 Victor Clark 1986-09-13 \n", + "10070547405 Leah Pratt 1986-06-06 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + "10219719840 Matthew Roberts 1979-11-21 \n", + "10229438507 Michael Coleman 1984-11-23 \n", + "10291521740 Melissa Davis 1983-04-26 \n", + "10337689941 Joshua Richardson 1979-05-09 \n", + "10421485185 Julie Jones 1989-01-11 \n", + "10433061621 Mark Whitaker 1994-10-13 \n", + "10460216558 Cheyenne Smith 1982-06-11 \n", + "10558660459 Riley Johnson 1991-12-18 \n", + " ...\n", + " (Total: 1562)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "millennials" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Projection (selecting, calculating, and renaming columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10008004398ThomasLi2009-05-22
10010213238StaceyMitchell2015-10-02
10012512171JamesHenderson1920-10-09
10017661220DonaldAnderson1955-04-16
10025696662JamesSmall2016-12-29
10037061898DeborahFoley1929-02-06
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10496786948AndrewCarter2001-05-02
10734349722KennethGraves1932-10-16
10782010443AmberWalters1933-02-12
10844022864GaryRogers1927-04-10
10862836412RandySanchez2018-09-21
11194304584MatthewLucas2003-03-25
11221407194JustinNelson1953-04-11
11279950296LanceLynch1999-03-15
11545066688NatalieJensen1908-03-17
\n", + "

...

\n", + "

Total: 660

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10153686421 Aaron Bradley 1912-02-04 \n", + "10291521740 Melissa Davis 1983-04-26 \n", + "10451478023 Diane Davis 1919-12-31 \n", + "10496786948 Andrew Carter 2001-05-02 \n", + "10734349722 Kenneth Graves 1932-10-16 \n", + "10782010443 Amber Walters 1933-02-12 \n", + "10844022864 Gary Rogers 1927-04-10 \n", + "10862836412 Randy Sanchez 2018-09-21 \n", + "11194304584 Matthew Lucas 2003-03-25 \n", + "11221407194 Justin Nelson 1953-04-11 \n", + "11279950296 Lance Lynch 1999-03-15 \n", + "11545066688 Natalie Jensen 1908-03-17 \n", + " ...\n", + " (Total: 660)" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# All the people that purchased AddOn #2.\n", + "Account & (Purchase & 'addon_id=2')" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10496786948AndrewCarter2001-05-02
11883734808PhilipBlack2014-01-10
12328381833LouisDavis1946-10-09
12966892803KathrynNorman1913-02-27
15503931605RobertAdams1921-06-04
16065195696MathewJohnson1981-11-10
16266465922MaryMcpherson2003-11-23
17386440647CalebRoth1953-04-11
18690145667CalebParks2012-04-18
19361732502RodneyWise1934-08-11
21566103221MichaelGuerrero1971-07-15
23868945012TristanLopez1992-01-20
\n", + "

...

\n", + "

Total: 66

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10496786948 Andrew Carter 2001-05-02 \n", + "11883734808 Philip Black 2014-01-10 \n", + "12328381833 Louis Davis 1946-10-09 \n", + "12966892803 Kathryn Norman 1913-02-27 \n", + "15503931605 Robert Adams 1921-06-04 \n", + "16065195696 Mathew Johnson 1981-11-10 \n", + "16266465922 Mary Mcpherson 2003-11-23 \n", + "17386440647 Caleb Roth 1953-04-11 \n", + "18690145667 Caleb Parks 2012-04-18 \n", + "19361732502 Rodney Wise 1934-08-11 \n", + "21566103221 Michael Guerrero 1971-07-15 \n", + "23868945012 Tristan Lopez 1992-01-20 \n", + " ...\n", + " (Total: 66)" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Give me all accounts who have purchased both Addon 2 and 3\n", + "Account & (Purchase & 'addon_id=2') & (Purchase & 'addon_id=3')" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10153686421AaronBradley1912-02-04
10166849316BenjaminGomez1929-04-24
10291521740MelissaDavis1983-04-26
10303625356RebeccaGriffith1975-01-10
10451478023DianeDavis1919-12-31
10496786948AndrewCarter2001-05-02
10535081800JohnMcmahon1929-01-30
10661381021KennethShaffer1946-09-07
10722472340HeidiCallahan1932-01-05
10734349722KennethGraves1932-10-16
10782010443AmberWalters1933-02-12
10789671183MichaelRush1913-12-31
\n", + "

...

\n", + "

Total: 1284

\n", " " ], "text/plain": [ - "*card_number exp_date cvc zipcode phone \n", - "+------------+ +----------+ +-----+ +---------+ +-------+\n", - "\n", - " (Total: 0)" + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10153686421 Aaron Bradley 1912-02-04 \n", + "10166849316 Benjamin Gomez 1929-04-24 \n", + "10291521740 Melissa Davis 1983-04-26 \n", + "10303625356 Rebecca Griffith 1975-01-10 \n", + "10451478023 Diane Davis 1919-12-31 \n", + "10496786948 Andrew Carter 2001-05-02 \n", + "10535081800 John Mcmahon 1929-01-30 \n", + "10661381021 Kenneth Shaffer 1946-09-07 \n", + "10722472340 Heidi Callahan 1932-01-05 \n", + "10734349722 Kenneth Graves 1932-10-16 \n", + "10782010443 Amber Walters 1933-02-12 \n", + "10789671183 Michael Rush 1913-12-31 \n", + " ...\n", + " (Total: 1284)" ] }, - "execution_count": 38, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "CreditCard()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [], - "source": [ - "keys = Account.fetch(\"KEY\")" + "# Give me all accounts who have purchased Addon 2 or 3\n", + "Account & (Purchase & 'addon_id=2 OR addon_id=3')\n", + "Account & (Purchase & 'addon_id in (2, 3)')\n", + "Account & (Purchase & ['addon_id=3', 'addon_id=2'])" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 86, "metadata": {}, "outputs": [], "source": [ - "import random" + "# Give me all accounts who have purchased Addon 2 but not 3" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fake.credit_card_number" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [], - "source": [ - "CreditCard.insert1(\n", - " dict(random.choice(keys), \n", - " zipcode=random.randint(10000,99999), \n", - " card_number=int(fake.credit_card_number()),\n", - " cvc=random.randint(1, 999), \n", - " exp_date=fake.future_date()))" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [], - "source": [ - "CreditCard.insert(\n", - " dict(random.choice(keys), \n", - " zipcode=random.randint(10000,99999), \n", - " card_number=int(fake.credit_card_number()),\n", - " cvc=random.randint(1, 999), \n", - " exp_date=fake.future_date()) for _ in range(15000))" - ] - }, - { - "cell_type": "code", - "execution_count": 76, + "execution_count": 92, "metadata": {}, "outputs": [ { "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "" + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
10012512171JamesHenderson1920-10-09
10017661220DonaldAnderson1955-04-16
10037061898DeborahFoley1929-02-06
10046294691GwendolynTurner2020-12-19
10046839321MarciaMartinez1990-07-15
10079669194RyanJohnson1978-03-08
10099464091MatthewSmith1949-05-04
10102995813DavidYoung1923-12-29
10116323806ScottHernandez1930-11-01
10120727834RobertRodriguez1951-04-10
10151756488ChelseaCox1940-12-19
10153686421AaronBradley1912-02-04
\n", + "

...

\n", + "

Total: 7304

\n", + " " ], "text/plain": [ - "" + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + "10099464091 Matthew Smith 1949-05-04 \n", + "10102995813 David Young 1923-12-29 \n", + "10116323806 Scott Hernandez 1930-11-01 \n", + "10120727834 Robert Rodriguez 1951-04-10 \n", + "10151756488 Chelsea Cox 1940-12-19 \n", + "10153686421 Aaron Bradley 1912-02-04 \n", + " ...\n", + " (Total: 7304)" ] }, - "execution_count": 76, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [], - "source": [ - "purchase_key = ((Account & CreditCard) * AddOn).fetch('KEY', limit=1)[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [], - "source": [ - "Purchase.insert1(dict(purchase_key, **(CreditCard & purchase_key).fetch('KEY')[0]))" + "# Accounts with credit cards that have no purchases\n", + "Account & (CreditCard - Purchase)" ] }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 96, "metadata": {}, "outputs": [ { @@ -1059,61 +7865,118 @@ "

phone

\n", " \n", "
\n", - "

addon_id

\n", + "

first_name

\n", " \n", "
\n", - "

card_number

\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", " \n", "
\n", - " 10025366473\n", - "3\n", - "376154262563571 \n", + " 10012512171\n", + "James\n", + "Henderson\n", + "1920-10-0910017661220\n", + "Donald\n", + "Anderson\n", + "1955-04-1610037061898\n", + "Deborah\n", + "Foley\n", + "1929-02-0610046294691\n", + "Gwendolyn\n", + "Turner\n", + "2020-12-1910046839321\n", + "Marcia\n", + "Martinez\n", + "1990-07-1510079669194\n", + "Ryan\n", + "Johnson\n", + "1978-03-0810099464091\n", + "Matthew\n", + "Smith\n", + "1949-05-0410102995813\n", + "David\n", + "Young\n", + "1923-12-2910116323806\n", + "Scott\n", + "Hernandez\n", + "1930-11-0110120727834\n", + "Robert\n", + "Rodriguez\n", + "1951-04-1010151756488\n", + "Chelsea\n", + "Cox\n", + "1940-12-1910169406225\n", + "Jennifer\n", + "Reid\n", + "1954-09-30 \n", " \n", - " \n", - "

Total: 1

\n", + "

...

\n", + "

Total: 5936

\n", " " ], "text/plain": [ - "*phone *addon_id card_number \n", - "+------------+ +----------+ +------------+\n", - "10025366473 3 37615426256357\n", - " (Total: 1)" + "*phone first_name last_name dob \n", + "+------------+ +------------+ +-----------+ +------------+\n", + "10012512171 James Henderson 1920-10-09 \n", + "10017661220 Donald Anderson 1955-04-16 \n", + "10037061898 Deborah Foley 1929-02-06 \n", + "10046294691 Gwendolyn Turner 2020-12-19 \n", + "10046839321 Marcia Martinez 1990-07-15 \n", + "10079669194 Ryan Johnson 1978-03-08 \n", + "10099464091 Matthew Smith 1949-05-04 \n", + "10102995813 David Young 1923-12-29 \n", + "10116323806 Scott Hernandez 1930-11-01 \n", + "10120727834 Robert Rodriguez 1951-04-10 \n", + "10151756488 Chelsea Cox 1940-12-19 \n", + "10169406225 Jennifer Reid 1954-09-30 \n", + " ...\n", + " (Total: 5936)" ] }, - "execution_count": 94, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Purchase()" + "# Accounts with credit cards but no purchases\n", + "(Account & CreditCard) - Purchase" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DeMorgan's Laws" ] }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 3, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "'SELECT `phone`,`addon_id`,`card_number`,`addon_name`,`price`,`first_name`,`last_name` FROM `app`.`purchase` NATURAL JOIN `app`.`#add_on` NATURAL JOIN `app`.`account`'" - ] - }, - "execution_count": 97, - "metadata": {}, - "output_type": "execute_result" + "ename": "SyntaxError", + "evalue": "invalid syntax (1792059247.py, line 1)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Cell \u001b[0;32mIn[3], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m not (A or B) == not A and not B\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] } ], "source": [ - "(Purchase * AddOn * Account).make_sql()" + "not (A or B) == not A and not B\n", + "\n", + "not (A and B) == not A or not B\n", + "\n", + "not (A and not B) == not A or B" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [] } ], From c54fd1ede0aa74ab84cdc000c343871e992a0352 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Mon, 2 Oct 2023 02:03:09 +0000 Subject: [PATCH 15/33] homework 5 --- db-course/005-Queries-HW.ipynb | 281 +- db-course/005-Queries.ipynb | 5349 +++++--------------------------- 2 files changed, 1019 insertions(+), 4611 deletions(-) diff --git a/db-course/005-Queries-HW.ipynb b/db-course/005-Queries-HW.ipynb index 6c80ca5..56a4cdd 100644 --- a/db-course/005-Queries-HW.ipynb +++ b/db-course/005-Queries-HW.ipynb @@ -12,14 +12,289 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-02 01:53:59,830][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-02 01:53:59,836][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import datajoint as dj\n", + "schema = dj.Schema('app')\n", + "schema.spawn_missing_classes()\n", + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
10119628924PaulKing2014-03-10M
10654544184PaulaGibson1964-06-17F
12623996456PaulDavis1941-10-02M
13045495630PaulPage1966-01-29M
15260885919PaulaMoreno1920-09-12F
15411070504PaulFreeman2022-05-06M
17893838071PaulaPatel1964-05-08F
18771323137PaulAlvarado1947-11-18M
18904286829PaulKelly2017-05-25M
19461966017PaulGuzman1926-05-26M
21025887328PaulFrazier1954-08-22M
22726453483PaulaRay2014-01-12F
\n", + "

...

\n", + "

Total: 63

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10119628924 Paul King 2014-03-10 M \n", + "10654544184 Paula Gibson 1964-06-17 F \n", + "12623996456 Paul Davis 1941-10-02 M \n", + "13045495630 Paul Page 1966-01-29 M \n", + "15260885919 Paula Moreno 1920-09-12 F \n", + "15411070504 Paul Freeman 2022-05-06 M \n", + "17893838071 Paula Patel 1964-05-08 F \n", + "18771323137 Paul Alvarado 1947-11-18 M \n", + "18904286829 Paul Kelly 2017-05-25 M \n", + "19461966017 Paul Guzman 1926-05-26 M \n", + "21025887328 Paul Frazier 1954-08-22 M \n", + "22726453483 Paula Ray 2014-01-12 F \n", + " ...\n", + " (Total: 63)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Problem 1 (solved). All accounts last_names for persons named \"Paul\" or \"Paula\"\n", + "Account & 'first_name in (\"Paul\", \"Paula\")'" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, - "source": [] + "outputs": [], + "source": [ + "# # Problem 2 (solved). All last_names for persons named \"Paul\" or \"Paula\", ordered by dob\n" + ] } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" }, "orig_nbformat": 4 }, diff --git a/db-course/005-Queries.ipynb b/db-course/005-Queries.ipynb index 1641414..9226e7f 100644 --- a/db-course/005-Queries.ipynb +++ b/db-course/005-Queries.ipynb @@ -20,17 +20,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-01 23:40:00,285][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-01 23:40:00,292][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - }, { "data": { "image/svg+xml": [ @@ -98,10 +90,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 1, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -115,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -235,7 +227,7 @@ " (Total: 5000)" ] }, - "execution_count": 2, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -255,7 +247,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -328,69 +320,84 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10008004398\n", - "Thomas\n", - "Li\n", - "2009-05-2210010213238\n", - "Stacey\n", - "Mitchell\n", - "2015-10-0210012512171\n", - "James\n", - "Henderson\n", - "1920-10-0910017661220\n", - "Donald\n", - "Anderson\n", - "1955-04-1610025696662\n", - "James\n", - "Small\n", - "2016-12-2910037061898\n", - "Deborah\n", - "Foley\n", - "1929-02-0610046294691\n", - "Gwendolyn\n", - "Turner\n", - "2020-12-1910046839321\n", - "Marcia\n", - "Martinez\n", - "1990-07-1510068182298\n", + " 10019062770\n", + "Lauren\n", + "Snyder\n", + "1961-08-18\n", + "F10020965828\n", "Victor\n", - "Clark\n", - "1986-09-1310070173668\n", - "Ronald\n", - "Duffy\n", - "1969-03-2310070547405\n", - "Leah\n", - "Pratt\n", - "1986-06-0610079669194\n", - "Ryan\n", - "Johnson\n", - "1978-03-08 \n", + "Ross\n", + "1952-07-12\n", + "M10040756087\n", + "Susan\n", + "Brown\n", + "1992-12-14\n", + "F10047410808\n", + "Paige\n", + "Holder\n", + "1942-09-02\n", + "F10051015428\n", + "William\n", + "Estrada\n", + "1985-12-31\n", + "M10068079952\n", + "Natalie\n", + "Brown\n", + "1950-09-09\n", + "F10092122352\n", + "Harold\n", + "Rivera\n", + "2011-10-19\n", + "M10103783887\n", + "Jordan\n", + "Gilbert\n", + "2003-03-16\n", + "M10104072787\n", + "Sharon\n", + "Shaw\n", + "1926-05-13\n", + "F10116699599\n", + "Alec\n", + "Smith\n", + "1958-07-31\n", + "M10116742023\n", + "Crystal\n", + "Martin\n", + "1997-09-20\n", + "F10119628924\n", + "Paul\n", + "King\n", + "2014-03-10\n", + "M \n", " \n", "

...

\n", - "

Total: 10001

\n", + "

Total: 10501

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "10008004398 Thomas Li 2009-05-22 \n", - "10010213238 Stacey Mitchell 2015-10-02 \n", - "10012512171 James Henderson 1920-10-09 \n", - "10017661220 Donald Anderson 1955-04-16 \n", - "10025696662 James Small 2016-12-29 \n", - "10037061898 Deborah Foley 1929-02-06 \n", - "10046294691 Gwendolyn Turner 2020-12-19 \n", - "10046839321 Marcia Martinez 1990-07-15 \n", - "10068182298 Victor Clark 1986-09-13 \n", - "10070173668 Ronald Duffy 1969-03-23 \n", - "10070547405 Leah Pratt 1986-06-06 \n", - "10079669194 Ryan Johnson 1978-03-08 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10019062770 Lauren Snyder 1961-08-18 F \n", + "10020965828 Victor Ross 1952-07-12 M \n", + "10040756087 Susan Brown 1992-12-14 F \n", + "10047410808 Paige Holder 1942-09-02 F \n", + "10051015428 William Estrada 1985-12-31 M \n", + "10068079952 Natalie Brown 1950-09-09 F \n", + "10092122352 Harold Rivera 2011-10-19 M \n", + "10103783887 Jordan Gilbert 2003-03-16 M \n", + "10104072787 Sharon Shaw 1926-05-13 F \n", + "10116699599 Alec Smith 1958-07-31 M \n", + "10116742023 Crystal Martin 1997-09-20 F \n", + "10119628924 Paul King 2014-03-10 M \n", " ...\n", - " (Total: 10001)" + " (Total: 10501)" ] }, - "execution_count": 3, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -401,4081 +408,90 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[{'phone': 10008004398,\n", - " 'first_name': 'Thomas',\n", - " 'last_name': 'Li',\n", - " 'dob': datetime.date(2009, 5, 22)},\n", - " {'phone': 10010213238,\n", - " 'first_name': 'Stacey',\n", - " 'last_name': 'Mitchell',\n", - " 'dob': datetime.date(2015, 10, 2)},\n", - " {'phone': 10012512171,\n", - " 'first_name': 'James',\n", - " 'last_name': 'Henderson',\n", - " 'dob': datetime.date(1920, 10, 9)},\n", - " {'phone': 10017661220,\n", - " 'first_name': 'Donald',\n", - " 'last_name': 'Anderson',\n", - " 'dob': datetime.date(1955, 4, 16)},\n", - " {'phone': 10025696662,\n", - " 'first_name': 'James',\n", - " 'last_name': 'Small',\n", - " 'dob': datetime.date(2016, 12, 29)},\n", - " {'phone': 10037061898,\n", - " 'first_name': 'Deborah',\n", - " 'last_name': 'Foley',\n", - " 'dob': datetime.date(1929, 2, 6)},\n", - " {'phone': 10046294691,\n", - " 'first_name': 'Gwendolyn',\n", - " 'last_name': 'Turner',\n", - " 'dob': datetime.date(2020, 12, 19)},\n", - " {'phone': 10046839321,\n", - " 'first_name': 'Marcia',\n", - " 'last_name': 'Martinez',\n", - " 'dob': datetime.date(1990, 7, 15)},\n", - " {'phone': 10068182298,\n", - " 'first_name': 'Victor',\n", - " 'last_name': 'Clark',\n", - " 'dob': datetime.date(1986, 9, 13)},\n", - " {'phone': 10070173668,\n", - " 'first_name': 'Ronald',\n", - " 'last_name': 'Duffy',\n", - " 'dob': datetime.date(1969, 3, 23)},\n", - " {'phone': 10070547405,\n", - " 'first_name': 'Leah',\n", - " 'last_name': 'Pratt',\n", - " 'dob': datetime.date(1986, 6, 6)},\n", - " {'phone': 10079669194,\n", - " 'first_name': 'Ryan',\n", - " 'last_name': 'Johnson',\n", - " 'dob': datetime.date(1978, 3, 8)},\n", - " {'phone': 10092945283,\n", - " 'first_name': 'Deanna',\n", - " 'last_name': 'Hayes',\n", - " 'dob': datetime.date(2015, 8, 16)},\n", - " {'phone': 10095918854,\n", - " 'first_name': 'Raymond',\n", - " 'last_name': 'Adams',\n", - " 'dob': datetime.date(2018, 5, 22)},\n", - " {'phone': 10099464091,\n", - " 'first_name': 'Matthew',\n", - " 'last_name': 'Smith',\n", - " 'dob': datetime.date(1949, 5, 4)},\n", - " {'phone': 10102995813,\n", - " 'first_name': 'David',\n", - " 'last_name': 'Young',\n", - " 'dob': datetime.date(1923, 12, 29)},\n", - " {'phone': 10116323806,\n", - " 'first_name': 'Scott',\n", - " 'last_name': 'Hernandez',\n", - " 'dob': datetime.date(1930, 11, 1)},\n", - " {'phone': 10120727834,\n", - " 'first_name': 'Robert',\n", - " 'last_name': 'Rodriguez',\n", - " 'dob': datetime.date(1951, 4, 10)},\n", - " {'phone': 10127762503,\n", - " 'first_name': 'Tracy',\n", - " 'last_name': 'Mack',\n", - " 'dob': datetime.date(1970, 4, 14)},\n", - " {'phone': 10151756488,\n", - " 'first_name': 'Chelsea',\n", - " 'last_name': 'Cox',\n", - " 'dob': datetime.date(1940, 12, 19)},\n", - " {'phone': 10152397506,\n", - " 'first_name': 'James',\n", - " 'last_name': 'Wade',\n", - " 'dob': datetime.date(1963, 4, 15)},\n", - " {'phone': 10153686421,\n", - " 'first_name': 'Aaron',\n", - " 'last_name': 'Bradley',\n", - " 'dob': datetime.date(1912, 2, 4)},\n", - " {'phone': 10166849316,\n", - " 'first_name': 'Benjamin',\n", - " 'last_name': 'Gomez',\n", - " 'dob': datetime.date(1929, 4, 24)},\n", - " {'phone': 10169406225,\n", - " 'first_name': 'Jennifer',\n", - " 'last_name': 'Reid',\n", - " 'dob': datetime.date(1954, 9, 30)},\n", - " {'phone': 10178738339,\n", - " 'first_name': 'Sarah',\n", - " 'last_name': 'Barnes',\n", - " 'dob': datetime.date(1924, 6, 25)},\n", - " {'phone': 10199189001,\n", - " 'first_name': 'Paul',\n", - " 'last_name': 'Johnson',\n", - " 'dob': datetime.date(1973, 8, 14)},\n", - " {'phone': 10206755444,\n", - " 'first_name': 'Kendra',\n", - " 'last_name': 'Schaefer',\n", - " 'dob': datetime.date(1954, 12, 11)},\n", - " {'phone': 10219719840,\n", - " 'first_name': 'Matthew',\n", - " 'last_name': 'Roberts',\n", - " 'dob': datetime.date(1979, 11, 21)},\n", - " {'phone': 10225542960,\n", - " 'first_name': 'Shawn',\n", - " 'last_name': 'Peterson',\n", - " 'dob': datetime.date(1927, 1, 14)},\n", - " {'phone': 10229438507,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Coleman',\n", - " 'dob': datetime.date(1984, 11, 23)},\n", - " {'phone': 10235975638,\n", - " 'first_name': 'Kimberly',\n", - " 'last_name': 'Novak',\n", - " 'dob': datetime.date(1913, 3, 1)},\n", - " {'phone': 10251975990,\n", - " 'first_name': 'Daniel',\n", - " 'last_name': 'Romero',\n", - " 'dob': datetime.date(1952, 11, 22)},\n", - " {'phone': 10269984308,\n", - " 'first_name': 'Ashley',\n", - " 'last_name': 'Page',\n", - " 'dob': datetime.date(1929, 3, 14)},\n", - " {'phone': 10271564710,\n", - " 'first_name': 'Juan',\n", - " 'last_name': 'Cook',\n", - " 'dob': datetime.date(1951, 5, 25)},\n", - " {'phone': 10279670908,\n", - " 'first_name': 'John',\n", - " 'last_name': 'Mullins',\n", - " 'dob': datetime.date(1944, 7, 28)},\n", - " {'phone': 10291521740,\n", - " 'first_name': 'Melissa',\n", - " 'last_name': 'Davis',\n", - " 'dob': datetime.date(1983, 4, 26)},\n", - " {'phone': 10293133275,\n", - " 'first_name': 'Glenn',\n", - " 'last_name': 'Diaz',\n", - " 'dob': datetime.date(2017, 9, 7)},\n", - " {'phone': 10300923098,\n", - " 'first_name': 'Angela',\n", - " 'last_name': 'Perry',\n", - " 'dob': datetime.date(1908, 9, 10)},\n", - " {'phone': 10303625356,\n", - " 'first_name': 'Rebecca',\n", - " 'last_name': 'Griffith',\n", - " 'dob': datetime.date(1975, 1, 10)},\n", - " {'phone': 10313226393,\n", - " 'first_name': 'Eric',\n", - " 'last_name': 'Mann',\n", - " 'dob': datetime.date(1925, 11, 1)},\n", - " {'phone': 10314223023,\n", - " 'first_name': 'Michelle',\n", - " 'last_name': 'Forbes',\n", - " 'dob': datetime.date(1921, 5, 17)},\n", - " {'phone': 10322518482,\n", - " 'first_name': 'Brian',\n", - " 'last_name': 'Guzman',\n", - " 'dob': datetime.date(1946, 3, 29)},\n", - " {'phone': 10333220637,\n", - " 'first_name': 'Ashley',\n", - " 'last_name': 'Briggs',\n", - " 'dob': datetime.date(1950, 11, 27)},\n", - " {'phone': 10337689941,\n", - " 'first_name': 'Joshua',\n", - " 'last_name': 'Richardson',\n", - " 'dob': datetime.date(1979, 5, 9)},\n", - " {'phone': 10357141286,\n", - " 'first_name': 'Christopher',\n", - " 'last_name': 'Morris',\n", - " 'dob': datetime.date(1932, 12, 13)},\n", - " {'phone': 10358819974,\n", - " 'first_name': 'Christina',\n", - " 'last_name': 'Williams',\n", - " 'dob': datetime.date(1912, 3, 4)},\n", - " {'phone': 10369946038,\n", - " 'first_name': 'Terrence',\n", - " 'last_name': 'Jones',\n", - " 'dob': datetime.date(1965, 11, 11)},\n", - " {'phone': 10405413361,\n", - " 'first_name': 'Kristin',\n", - " 'last_name': 'Williams',\n", - " 'dob': datetime.date(1998, 8, 11)},\n", - " {'phone': 10421485185,\n", - " 'first_name': 'Julie',\n", - " 'last_name': 'Jones',\n", - " 'dob': datetime.date(1989, 1, 11)},\n", - " {'phone': 10422669197,\n", - " 'first_name': 'Robert',\n", - " 'last_name': 'Thomas',\n", - " 'dob': datetime.date(2012, 2, 29)},\n", - " {'phone': 10433061621,\n", - " 'first_name': 'Mark',\n", - " 'last_name': 'Whitaker',\n", - " 'dob': datetime.date(1994, 10, 13)},\n", - " {'phone': 10445431947,\n", - " 'first_name': 'Brandi',\n", - " 'last_name': 'Gallagher',\n", - " 'dob': datetime.date(1942, 2, 25)},\n", - " {'phone': 10451478023,\n", - " 'first_name': 'Diane',\n", - " 'last_name': 'Davis',\n", - " 'dob': datetime.date(1919, 12, 31)},\n", - " {'phone': 10453924485,\n", - " 'first_name': 'Terri',\n", - " 'last_name': 'Griffin',\n", - " 'dob': datetime.date(1910, 5, 30)},\n", - " {'phone': 10454308663,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Smith',\n", - " 'dob': datetime.date(1945, 8, 14)},\n", - " {'phone': 10455743181,\n", - " 'first_name': 'Joseph',\n", - " 'last_name': 'Wright',\n", - " 'dob': datetime.date(1965, 9, 19)},\n", - " {'phone': 10460216558,\n", - " 'first_name': 'Cheyenne',\n", - " 'last_name': 'Smith',\n", - " 'dob': datetime.date(1982, 6, 11)},\n", - " {'phone': 10460768752,\n", - " 'first_name': 'Kendra',\n", - " 'last_name': 'Harris',\n", - " 'dob': datetime.date(1928, 3, 11)},\n", - " {'phone': 10469840549,\n", - " 'first_name': 'Wendy',\n", - " 'last_name': 'Page',\n", - " 'dob': datetime.date(1936, 1, 19)},\n", - " {'phone': 10474564084,\n", - " 'first_name': 'Michelle',\n", - " 'last_name': 'Grant',\n", - " 'dob': datetime.date(2020, 5, 2)},\n", - " {'phone': 10477362148,\n", - " 'first_name': 'Sarah',\n", - " 'last_name': 'Wilson',\n", - " 'dob': datetime.date(2006, 2, 13)},\n", - " {'phone': 10478678300,\n", - " 'first_name': 'Brian',\n", - " 'last_name': 'Johnson',\n", - " 'dob': datetime.date(2006, 1, 11)},\n", - " {'phone': 10483637535,\n", - " 'first_name': 'William',\n", - " 'last_name': 'Ortiz',\n", - " 'dob': datetime.date(1972, 12, 31)},\n", - " {'phone': 10486571108,\n", - " 'first_name': 'William',\n", - " 'last_name': 'Clark',\n", - " 'dob': datetime.date(1930, 12, 29)},\n", - " {'phone': 10487938537,\n", - " 'first_name': 'Lisa',\n", - " 'last_name': 'Padilla',\n", - " 'dob': datetime.date(2013, 6, 10)},\n", - " {'phone': 10496786948,\n", - " 'first_name': 'Andrew',\n", - " 'last_name': 'Carter',\n", - " 'dob': datetime.date(2001, 5, 2)},\n", - " {'phone': 10502539419,\n", - " 'first_name': 'Zachary',\n", - " 'last_name': 'Salazar',\n", - " 'dob': datetime.date(1972, 5, 20)},\n", - " {'phone': 10509334361,\n", - " 'first_name': 'Timothy',\n", - " 'last_name': 'Mccarthy',\n", - " 'dob': datetime.date(1952, 12, 20)},\n", - " {'phone': 10525627170,\n", - " 'first_name': 'Stephen',\n", - " 'last_name': 'Middleton',\n", - " 'dob': datetime.date(1922, 10, 21)},\n", - " {'phone': 10535081800,\n", - " 'first_name': 'John',\n", - " 'last_name': 'Mcmahon',\n", - " 'dob': datetime.date(1929, 1, 30)},\n", - " {'phone': 10538550011,\n", - " 'first_name': 'Heather',\n", - " 'last_name': 'Moore',\n", - " 'dob': datetime.date(1951, 3, 31)},\n", - " {'phone': 10558660459,\n", - " 'first_name': 'Riley',\n", - " 'last_name': 'Johnson',\n", - " 'dob': datetime.date(1991, 12, 18)},\n", - " {'phone': 10570544388,\n", - " 'first_name': 'Norma',\n", - " 'last_name': 'Contreras',\n", - " 'dob': datetime.date(1972, 8, 1)},\n", - " {'phone': 10606206147,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Rasmussen',\n", - " 'dob': datetime.date(1955, 8, 11)},\n", - " {'phone': 10633593317,\n", - " 'first_name': 'Victoria',\n", - " 'last_name': 'Bailey',\n", - " 'dob': datetime.date(1926, 7, 8)},\n", - " {'phone': 10661381021,\n", - " 'first_name': 'Kenneth',\n", - " 'last_name': 'Shaffer',\n", - " 'dob': datetime.date(1946, 9, 7)},\n", - " {'phone': 10682187996,\n", - " 'first_name': 'Sandra',\n", - " 'last_name': 'Hernandez',\n", - " 'dob': datetime.date(1934, 3, 11)},\n", - " {'phone': 10683411757,\n", - " 'first_name': 'Catherine',\n", - " 'last_name': 'Thompson',\n", - " 'dob': datetime.date(1942, 7, 7)},\n", - " {'phone': 10686247769,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Warren',\n", - " 'dob': datetime.date(1942, 2, 11)},\n", - " {'phone': 10707760582,\n", - " 'first_name': 'Gregory',\n", - " 'last_name': 'Jenkins',\n", - " 'dob': datetime.date(2009, 8, 18)},\n", - " {'phone': 10718839940,\n", - " 'first_name': 'Andrew',\n", - " 'last_name': 'Robinson',\n", - " 'dob': datetime.date(1938, 1, 4)},\n", - " {'phone': 10722472340,\n", - " 'first_name': 'Heidi',\n", - " 'last_name': 'Callahan',\n", - " 'dob': datetime.date(1932, 1, 5)},\n", - " {'phone': 10734349722,\n", - " 'first_name': 'Kenneth',\n", - " 'last_name': 'Graves',\n", - " 'dob': datetime.date(1932, 10, 16)},\n", - " {'phone': 10736390837,\n", - " 'first_name': 'Tyler',\n", - " 'last_name': 'Bell',\n", - " 'dob': datetime.date(2005, 2, 24)},\n", - " {'phone': 10749885443,\n", - " 'first_name': 'Erica',\n", - " 'last_name': 'Williams',\n", - " 'dob': datetime.date(1961, 12, 15)},\n", - " {'phone': 10754601905,\n", - " 'first_name': 'Monica',\n", - " 'last_name': 'King',\n", - " 'dob': datetime.date(1909, 8, 1)},\n", - " {'phone': 10779778109,\n", - " 'first_name': 'Chris',\n", - " 'last_name': 'Johnson',\n", - " 'dob': datetime.date(1961, 8, 7)},\n", - " {'phone': 10782010443,\n", - " 'first_name': 'Amber',\n", - " 'last_name': 'Walters',\n", - " 'dob': datetime.date(1933, 2, 12)},\n", - " {'phone': 10789671183,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Rush',\n", - " 'dob': datetime.date(1913, 12, 31)},\n", - " {'phone': 10795604236,\n", - " 'first_name': 'Elizabeth',\n", - " 'last_name': 'Kirby',\n", - " 'dob': datetime.date(1990, 11, 15)},\n", - " {'phone': 10807995767,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Collins',\n", - " 'dob': datetime.date(1958, 8, 4)},\n", - " {'phone': 10809328694,\n", - " 'first_name': 'Tammy',\n", - " 'last_name': 'Garcia',\n", - " 'dob': datetime.date(2022, 8, 7)},\n", - " {'phone': 10830155464,\n", - " 'first_name': 'Megan',\n", - " 'last_name': 'Mejia',\n", - " 'dob': datetime.date(1996, 7, 30)},\n", - " {'phone': 10844022864,\n", - " 'first_name': 'Gary',\n", - " 'last_name': 'Rogers',\n", - " 'dob': datetime.date(1927, 4, 10)},\n", - " {'phone': 10852186030,\n", - " 'first_name': 'Tracie',\n", - " 'last_name': 'Barrera',\n", - " 'dob': datetime.date(1977, 7, 21)},\n", - " {'phone': 10856332024,\n", - " 'first_name': 'Cynthia',\n", - " 'last_name': 'Powell',\n", - " 'dob': datetime.date(1961, 1, 5)},\n", - " {'phone': 10862836412,\n", - " 'first_name': 'Randy',\n", - " 'last_name': 'Sanchez',\n", - " 'dob': datetime.date(2018, 9, 21)},\n", - " {'phone': 10866470978,\n", - " 'first_name': 'Jessica',\n", - " 'last_name': 'Martin',\n", - " 'dob': datetime.date(2007, 5, 24)},\n", - " {'phone': 10867675149,\n", - " 'first_name': 'Diana',\n", - " 'last_name': 'Cole',\n", - " 'dob': datetime.date(1932, 8, 30)},\n", - " {'phone': 10911380295,\n", - " 'first_name': 'Elizabeth',\n", - " 'last_name': 'Adams',\n", - " 'dob': datetime.date(1932, 3, 10)},\n", - " {'phone': 10934227204,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Nielsen',\n", - " 'dob': datetime.date(2011, 1, 2)},\n", - " {'phone': 10943944657,\n", - " 'first_name': 'John',\n", - 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" {'phone': 19044879721,\n", - " 'first_name': 'Ian',\n", - " 'last_name': 'Mckay',\n", - " 'dob': datetime.date(2009, 12, 14)},\n", - " {'phone': 19047553411,\n", - " 'first_name': 'Christopher',\n", - " 'last_name': 'Parker',\n", - " 'dob': datetime.date(1945, 9, 20)},\n", - " {'phone': 19056450033,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Burns',\n", - " 'dob': datetime.date(1944, 7, 23)},\n", - " {'phone': 19056830251,\n", - " 'first_name': 'Richard',\n", - " 'last_name': 'Webster',\n", - " 'dob': datetime.date(2009, 9, 23)},\n", - " {'phone': 19081163923,\n", - " 'first_name': 'Christopher',\n", - " 'last_name': 'Miller',\n", - " 'dob': datetime.date(1988, 8, 25)},\n", - " {'phone': 19081816729,\n", - " 'first_name': 'Craig',\n", - " 'last_name': 'Brown',\n", - " 'dob': datetime.date(1977, 1, 1)},\n", - " {'phone': 19085432266,\n", - " 'first_name': 'Ryan',\n", - " 'last_name': 'Reed',\n", - " 'dob': datetime.date(1960, 1, 27)},\n", - " {'phone': 19088161000,\n", - " 'first_name': 'Jeremiah',\n", - " 'last_name': 'Smith',\n", - " 'dob': datetime.date(1929, 11, 25)},\n", - " {'phone': 19088946163,\n", - " 'first_name': 'Dalton',\n", - " 'last_name': 'Henderson',\n", - " 'dob': datetime.date(2004, 3, 30)},\n", - " {'phone': 19089174356,\n", - " 'first_name': 'Casey',\n", - " 'last_name': 'Smith',\n", - " 'dob': datetime.date(1985, 7, 17)},\n", - " {'phone': 19094144841,\n", - " 'first_name': 'Olivia',\n", - " 'last_name': 'Simpson',\n", - " 'dob': datetime.date(1929, 5, 17)},\n", - " {'phone': 19095203435,\n", - " 'first_name': 'Jonathan',\n", - " 'last_name': 'Kerr',\n", - " 'dob': datetime.date(1961, 5, 8)},\n", - " {'phone': 19099334454,\n", - " 'first_name': 'Richard',\n", - " 'last_name': 'Lane',\n", - " 'dob': datetime.date(1940, 12, 27)},\n", - " {'phone': 19117793995,\n", - " 'first_name': 'Joseph',\n", - " 'last_name': 'Livingston',\n", - " 'dob': datetime.date(1938, 11, 16)},\n", - " {'phone': 19126711971,\n", - " 'first_name': 'Robert',\n", - " 'last_name': 'Phillips',\n", - " 'dob': datetime.date(1918, 12, 3)},\n", - " ...]" + " 'dob': datetime.date(1985, 12, 31),\n", + " 'sex': 'M'}]" ] }, - "execution_count": 4, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Account.fetch(as_dict=True)" + "Account.fetch(as_dict=True, limit=5)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[{'phone': 51444261372,\n", - " 'first_name': 'Alexis',\n", - " 'last_name': 'Abbott',\n", - " 'dob': datetime.date(1991, 7, 17)},\n", - " {'phone': 71380323330,\n", - " 'first_name': 'Emily',\n", + "[{'phone': 15366336995,\n", + " 'first_name': 'Rachel',\n", " 'last_name': 'Abbott',\n", - " 'dob': datetime.date(1913, 10, 23)},\n", - " {'phone': 53177609092,\n", - " 'first_name': 'Gregory',\n", + " 'dob': datetime.date(2000, 4, 22),\n", + " 'sex': 'F'},\n", + " {'phone': 91972525114,\n", + " 'first_name': 'Robert',\n", " 'last_name': 'Abbott',\n", - " 'dob': datetime.date(1930, 4, 21)},\n", - " {'phone': 66079291453,\n", - " 'first_name': 'Stephen',\n", + " 'dob': datetime.date(1929, 1, 19),\n", + " 'sex': 'M'},\n", + " {'phone': 36893728519,\n", + " 'first_name': 'William',\n", " 'last_name': 'Abbott',\n", - " 'dob': datetime.date(1916, 9, 7)},\n", - " {'phone': 27358861634,\n", - " 'first_name': 'Brandon',\n", - " 'last_name': 'Acevedo',\n", - " 'dob': datetime.date(1909, 1, 10)},\n", - " {'phone': 98247453638,\n", - " 'first_name': 'James',\n", + " 'dob': datetime.date(2003, 6, 22),\n", + " 'sex': 'M'},\n", + " {'phone': 51992023735,\n", + " 'first_name': 'Brianna',\n", " 'last_name': 'Acevedo',\n", - " 'dob': datetime.date(2016, 2, 8)},\n", - " {'phone': 46008885354,\n", - " 'first_name': 'Steven',\n", + " 'dob': datetime.date(1982, 4, 2),\n", + " 'sex': 'F'},\n", + " {'phone': 38801647559,\n", + " 'first_name': 'Christian',\n", " 'last_name': 'Acevedo',\n", - " 'dob': datetime.date(1984, 7, 23)},\n", - " {'phone': 35132860303,\n", - " 'first_name': 'Joanna',\n", - " 'last_name': 'Acosta',\n", - " 'dob': datetime.date(1941, 1, 4)},\n", - " {'phone': 11740091844,\n", - " 'first_name': 'Larry',\n", - " 'last_name': 'Acosta',\n", - " 'dob': datetime.date(1948, 3, 18)},\n", - " {'phone': 25514353782,\n", - " 'first_name': 'Lauren',\n", - " 'last_name': 'Acosta',\n", - " 'dob': datetime.date(1952, 3, 14)}]" + " 'dob': datetime.date(1940, 4, 10),\n", + " 'sex': 'M'}]" ] }, - "execution_count": 5, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Account.fetch(as_dict=True, order_by=('last_name', 'first_name'), limit=10)" + "Account.fetch(as_dict=True, order_by=('last_name', 'first_name'), limit=5)" ] }, { @@ -4486,46 +502,31 @@ { "data": { "text/plain": [ - "[{'phone': 53932761114,\n", - " 'first_name': 'Sara',\n", - " 'last_name': 'Shelton',\n", - " 'dob': datetime.date(2022, 8, 20)},\n", - " {'phone': 60517459688,\n", - " 'first_name': 'Shawn',\n", - " 'last_name': 'Cross',\n", - " 'dob': datetime.date(2022, 8, 10)},\n", - " {'phone': 10809328694,\n", - " 'first_name': 'Tammy',\n", - " 'last_name': 'Garcia',\n", - " 'dob': datetime.date(2022, 8, 7)},\n", - " {'phone': 66955470314,\n", - " 'first_name': 'Kenneth',\n", - " 'last_name': 'Sparks',\n", - " 'dob': datetime.date(2022, 8, 5)},\n", - " {'phone': 29576059858,\n", - " 'first_name': 'Zachary',\n", - " 'last_name': 'Ferguson',\n", - " 'dob': datetime.date(2022, 8, 2)},\n", - " {'phone': 88537153513,\n", - " 'first_name': 'Adam',\n", + "[{'phone': 61348693087,\n", + " 'first_name': 'Jennifer',\n", + " 'last_name': 'Singh',\n", + " 'dob': datetime.date(2022, 8, 6),\n", + " 'sex': 'F'},\n", + " {'phone': 40205369474,\n", + " 'first_name': 'Alexander',\n", " 'last_name': 'Thomas',\n", - " 'dob': datetime.date(2022, 7, 24)},\n", - " {'phone': 72212204485,\n", - " 'first_name': 'Daniel',\n", - " 'last_name': 'Hutchinson',\n", - " 'dob': datetime.date(2022, 7, 18)},\n", - " {'phone': 63094466207,\n", - " 'first_name': 'Lonnie',\n", - " 'last_name': 'Tyler',\n", - " 'dob': datetime.date(2022, 7, 15)},\n", - " {'phone': 57745712433,\n", - " 'first_name': 'Justin',\n", - " 'last_name': 'Miles',\n", - " 'dob': datetime.date(2022, 7, 10)},\n", - " {'phone': 69235537483,\n", - " 'first_name': 'Michael',\n", - " 'last_name': 'Taylor',\n", - " 'dob': datetime.date(2022, 7, 10)}]" + " 'dob': datetime.date(2022, 8, 6),\n", + " 'sex': 'M'},\n", + " {'phone': 47397056664,\n", + " 'first_name': 'Garrett',\n", + " 'last_name': 'Mooney',\n", + " 'dob': datetime.date(2022, 7, 27),\n", + " 'sex': 'M'},\n", + " {'phone': 72207025461,\n", + " 'first_name': 'Rhonda',\n", + " 'last_name': 'Bates',\n", + " 'dob': datetime.date(2022, 7, 21),\n", + " 'sex': 'F'},\n", + " {'phone': 85504732206,\n", + " 'first_name': 'Desiree',\n", + " 'last_name': 'Perez',\n", + " 'dob': datetime.date(2022, 7, 20),\n", + " 'sex': 'F'}]" ] }, "execution_count": 9, @@ -4534,7 +535,7 @@ } ], "source": [ - "Account.fetch(as_dict=True, order_by=('dob DESC'), limit=10, offset=100)" + "Account.fetch(as_dict=True, order_by=('dob DESC'), limit=5, offset=100)" ] }, { @@ -4620,21 +621,21 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 69235537483\n", - "Michael\n", - "Taylor\n", - "2022-07-10 \n", + " \n", " \n", " \n", - "

Total: 1

\n", + "

Total: 0

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "69235537483 Michael Taylor 2022-07-10 \n", - " (Total: 1)" + "*phone first_name last_name dob sex \n", + "+-------+ +------------+ +-----------+ +-----+ +-----+\n", + "\n", + " (Total: 0)" ] }, "execution_count": 10, @@ -4721,66 +722,81 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10229438507\n", + " 10923785986\n", "Michael\n", - "Coleman\n", - "1984-11-2310454308663\n", + "Soto\n", + "1945-08-13\n", + "M11005781260\n", "Michael\n", - "Smith\n", - "1945-08-1410606206147\n", + "Washington\n", + "1930-08-21\n", + "M11505392467\n", "Michael\n", - "Rasmussen\n", - "1955-08-1110686247769\n", + "Russo\n", + "1969-04-05\n", + "M11605501506\n", "Michael\n", - "Warren\n", - "1942-02-1110789671183\n", + "Lopez\n", + "1927-02-09\n", + "M11842665345\n", "Michael\n", - "Rush\n", - "1913-12-3110807995767\n", + "Wright\n", + "1950-02-04\n", + "M13730659059\n", "Michael\n", - "Collins\n", - "1958-08-0410934227204\n", + "Murphy\n", + "None\n", + "14362797615\n", "Michael\n", - "Nielsen\n", - "2011-01-0211024050487\n", + "Johnson\n", + "1918-12-16\n", + "M14419578436\n", "Michael\n", - "Roberson\n", - "1959-05-2711470574946\n", + "Fox\n", + "2016-08-02\n", + "M14443705983\n", "Michael\n", - "Wilson\n", - "2019-12-1411830659746\n", + "Jones\n", + "2021-12-07\n", + "M14470747853\n", "Michael\n", - "Rodriguez\n", - "1936-11-2012284064601\n", + "Gibson\n", + "1929-11-08\n", + "M14979628541\n", "Michael\n", - "Davis\n", - "1917-09-0712573843141\n", + "Gill\n", + "1997-07-20\n", + "M15011091753\n", "Michael\n", - "Simmons\n", - "1933-07-27 \n", + "Simpson\n", + "1927-03-14\n", + "M \n", " \n", "

...

\n", - "

Total: 243

\n", + "

Total: 263

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "10229438507 Michael Coleman 1984-11-23 \n", - "10454308663 Michael Smith 1945-08-14 \n", - "10606206147 Michael Rasmussen 1955-08-11 \n", - "10686247769 Michael Warren 1942-02-11 \n", - "10789671183 Michael Rush 1913-12-31 \n", - "10807995767 Michael Collins 1958-08-04 \n", - "10934227204 Michael Nielsen 2011-01-02 \n", - "11024050487 Michael Roberson 1959-05-27 \n", - "11470574946 Michael Wilson 2019-12-14 \n", - "11830659746 Michael Rodriguez 1936-11-20 \n", - "12284064601 Michael Davis 1917-09-07 \n", - "12573843141 Michael Simmons 1933-07-27 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +------------+ +------------+ +-----+\n", + "10923785986 Michael Soto 1945-08-13 M \n", + "11005781260 Michael Washington 1930-08-21 M \n", + "11505392467 Michael Russo 1969-04-05 M \n", + "11605501506 Michael Lopez 1927-02-09 M \n", + "11842665345 Michael Wright 1950-02-04 M \n", + "13730659059 Michael Murphy None \n", + "14362797615 Michael Johnson 1918-12-16 M \n", + "14419578436 Michael Fox 2016-08-02 M \n", + "14443705983 Michael Jones 2021-12-07 M \n", + "14470747853 Michael Gibson 1929-11-08 M \n", + "14979628541 Michael Gill 1997-07-20 M \n", + "15011091753 Michael Simpson 1927-03-14 M \n", " ...\n", - " (Total: 243)" + " (Total: 263)" ] }, "execution_count": 11, @@ -4794,7 +810,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -4867,69 +883,84 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10229438507\n", + " 10923785986\n", "Michael\n", - "Coleman\n", - "1984-11-2310454308663\n", + "Soto\n", + "1945-08-13\n", + "M11005781260\n", "Michael\n", - "Smith\n", - "1945-08-1410606206147\n", + "Washington\n", + "1930-08-21\n", + "M11505392467\n", "Michael\n", - "Rasmussen\n", - "1955-08-1110686247769\n", + "Russo\n", + "1969-04-05\n", + "M11605501506\n", "Michael\n", - "Warren\n", - "1942-02-1110789671183\n", + "Lopez\n", + "1927-02-09\n", + "M11842665345\n", "Michael\n", - "Rush\n", - "1913-12-3110807995767\n", + "Wright\n", + "1950-02-04\n", + "M13730659059\n", "Michael\n", - "Collins\n", - "1958-08-0410934227204\n", + "Murphy\n", + "None\n", + "14362797615\n", "Michael\n", - "Nielsen\n", - "2011-01-0211024050487\n", + "Johnson\n", + "1918-12-16\n", + "M14419578436\n", "Michael\n", - "Roberson\n", - "1959-05-2711470574946\n", + "Fox\n", + "2016-08-02\n", + "M14443705983\n", "Michael\n", - "Wilson\n", - "2019-12-1411830659746\n", + "Jones\n", + "2021-12-07\n", + "M14470747853\n", "Michael\n", - "Rodriguez\n", - "1936-11-2012284064601\n", + "Gibson\n", + "1929-11-08\n", + "M14979628541\n", "Michael\n", - "Davis\n", - "1917-09-0712573843141\n", + "Gill\n", + "1997-07-20\n", + "M15011091753\n", "Michael\n", - "Simmons\n", - "1933-07-27 \n", + "Simpson\n", + "1927-03-14\n", + "M \n", " \n", "

...

\n", - "

Total: 243

\n", + "

Total: 263

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "10229438507 Michael Coleman 1984-11-23 \n", - "10454308663 Michael Smith 1945-08-14 \n", - "10606206147 Michael Rasmussen 1955-08-11 \n", - "10686247769 Michael Warren 1942-02-11 \n", - "10789671183 Michael Rush 1913-12-31 \n", - "10807995767 Michael Collins 1958-08-04 \n", - "10934227204 Michael Nielsen 2011-01-02 \n", - "11024050487 Michael Roberson 1959-05-27 \n", - "11470574946 Michael Wilson 2019-12-14 \n", - "11830659746 Michael Rodriguez 1936-11-20 \n", - "12284064601 Michael Davis 1917-09-07 \n", - "12573843141 Michael Simmons 1933-07-27 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +------------+ +------------+ +-----+\n", + "10923785986 Michael Soto 1945-08-13 M \n", + "11005781260 Michael Washington 1930-08-21 M \n", + "11505392467 Michael Russo 1969-04-05 M \n", + "11605501506 Michael Lopez 1927-02-09 M \n", + "11842665345 Michael Wright 1950-02-04 M \n", + "13730659059 Michael Murphy None \n", + "14362797615 Michael Johnson 1918-12-16 M \n", + "14419578436 Michael Fox 2016-08-02 M \n", + "14443705983 Michael Jones 2021-12-07 M \n", + "14470747853 Michael Gibson 1929-11-08 M \n", + "14979628541 Michael Gill 1997-07-20 M \n", + "15011091753 Michael Simpson 1927-03-14 M \n", " ...\n", - " (Total: 243)" + " (Total: 263)" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -4940,7 +971,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -5013,36 +1044,48 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 26784298578\n", + " 18775649461\n", + "Anne\n", + "Lozano\n", + "2018-10-25\n", + "F21157989480\n", "Anne\n", - "Weber\n", - "2015-04-0956997124464\n", + "Spencer\n", + "2004-10-23\n", + "F34561118573\n", "Anne\n", - "Harris\n", - "2006-12-2771445368084\n", + "Wilson\n", + "2010-12-31\n", + "F50673081066\n", "Anne\n", - "Joseph\n", - "2004-01-3180176672017\n", + "Munoz\n", + "2014-01-07\n", + "F62663220810\n", "Anne\n", - "Garcia\n", - "2009-09-18 \n", + "Williams\n", + "2007-06-20\n", + "F \n", " \n", " \n", - "

Total: 4

\n", + "

Total: 5

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "26784298578 Anne Weber 2015-04-09 \n", - "56997124464 Anne Harris 2006-12-27 \n", - "71445368084 Anne Joseph 2004-01-31 \n", - "80176672017 Anne Garcia 2009-09-18 \n", - " (Total: 4)" + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "18775649461 Anne Lozano 2018-10-25 F \n", + "21157989480 Anne Spencer 2004-10-23 F \n", + "34561118573 Anne Wilson 2010-12-31 F \n", + "50673081066 Anne Munoz 2014-01-07 F \n", + "62663220810 Anne Williams 2007-06-20 F \n", + " (Total: 5)" ] }, - "execution_count": 18, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -5053,7 +1096,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -5126,69 +1169,84 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 11866584516\n", - "Russell\n", - "Kennedy\n", - "2023-07-1113472726485\n", - "Robert\n", - "Jensen\n", - "2023-03-1316670831184\n", - "Linda\n", - "Clay\n", - "2023-05-0819363171118\n", - "Logan\n", - "Brooks\n", - "2023-04-2620316740126\n", - "Cindy\n", - "Bishop\n", - "2023-09-2022318026657\n", - "Christopher\n", - "Chavez\n", - "2023-03-0722969160297\n", - "Rachel\n", - "Holmes\n", - "2023-03-1223952589751\n", - "William\n", - "Webb\n", - "2023-08-0624814918574\n", - "Aaron\n", - "Butler\n", - "2023-04-0525922340862\n", - "Sharon\n", - "Santiago\n", - "2023-03-2427111673313\n", - "Sarah\n", - "Trevino\n", - "2023-04-1627150590622\n", - "Thomas\n", - "Brown\n", - "2023-08-14 \n", + " 10306464131\n", + "Zachary\n", + "Vaughan\n", + "2023-06-04\n", + "M11472981791\n", + "Kristin\n", + "Ward\n", + "2023-06-14\n", + "F14249470562\n", + "John\n", + "Contreras\n", + "2023-03-05\n", + "M14900154875\n", + "Daniel\n", + "Perry\n", + "2023-04-08\n", + "M15775138364\n", + "Eric\n", + "Colon\n", + "2023-04-30\n", + "M18206197063\n", + "Erin\n", + "Mendoza\n", + "2023-07-18\n", + "F19118508049\n", + "Rebekah\n", + "Hardin\n", + "2023-01-25\n", + "F20022976140\n", + "Shawn\n", + "Torres\n", + "2023-09-14\n", + "M20280673168\n", + "Rebecca\n", + "Ford\n", + "2023-02-28\n", + "F21265760789\n", + "Steven\n", + "Webster\n", + "2023-03-11\n", + "M23861001702\n", + "Michael\n", + "Davis\n", + "2023-01-26\n", + "M28389500853\n", + "Michael\n", + "Schmidt\n", + "2023-06-24\n", + "M \n", " \n", "

...

\n", - "

Total: 68

\n", + "

Total: 70

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "11866584516 Russell Kennedy 2023-07-11 \n", - "13472726485 Robert Jensen 2023-03-13 \n", - "16670831184 Linda Clay 2023-05-08 \n", - "19363171118 Logan Brooks 2023-04-26 \n", - "20316740126 Cindy Bishop 2023-09-20 \n", - "22318026657 Christopher Chavez 2023-03-07 \n", - "22969160297 Rachel Holmes 2023-03-12 \n", - "23952589751 William Webb 2023-08-06 \n", - "24814918574 Aaron Butler 2023-04-05 \n", - "25922340862 Sharon Santiago 2023-03-24 \n", - "27111673313 Sarah Trevino 2023-04-16 \n", - "27150590622 Thomas Brown 2023-08-14 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10306464131 Zachary Vaughan 2023-06-04 M \n", + "11472981791 Kristin Ward 2023-06-14 F \n", + "14249470562 John Contreras 2023-03-05 M \n", + "14900154875 Daniel Perry 2023-04-08 M \n", + "15775138364 Eric Colon 2023-04-30 M \n", + "18206197063 Erin Mendoza 2023-07-18 F \n", + "19118508049 Rebekah Hardin 2023-01-25 F \n", + "20022976140 Shawn Torres 2023-09-14 M \n", + "20280673168 Rebecca Ford 2023-02-28 F \n", + "21265760789 Steven Webster 2023-03-11 M \n", + "23861001702 Michael Davis 2023-01-26 M \n", + "28389500853 Michael Schmidt 2023-06-24 M \n", " ...\n", - " (Total: 68)" + " (Total: 70)" ] }, - "execution_count": 24, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -5199,7 +1257,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -5272,69 +1330,84 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10008004398\n", - "Thomas\n", - "Li\n", - "2009-05-2210010213238\n", - "Stacey\n", - "Mitchell\n", - "2015-10-0210012512171\n", - "James\n", - "Henderson\n", - "1920-10-0910017661220\n", - "Donald\n", - "Anderson\n", - "1955-04-1610025696662\n", - "James\n", - "Small\n", - "2016-12-2910037061898\n", - "Deborah\n", - "Foley\n", - "1929-02-0610046294691\n", - "Gwendolyn\n", - "Turner\n", - "2020-12-1910046839321\n", - "Marcia\n", - "Martinez\n", - "1990-07-1510068182298\n", + " 10019062770\n", + "Lauren\n", + "Snyder\n", + "1961-08-18\n", + "F10020965828\n", "Victor\n", - "Clark\n", - "1986-09-1310070173668\n", - "Ronald\n", - "Duffy\n", - "1969-03-2310070547405\n", - "Leah\n", - "Pratt\n", - "1986-06-0610079669194\n", - "Ryan\n", - "Johnson\n", - "1978-03-08 \n", + "Ross\n", + "1952-07-12\n", + "M10040756087\n", + "Susan\n", + "Brown\n", + "1992-12-14\n", + "F10047410808\n", + "Paige\n", + "Holder\n", + "1942-09-02\n", + "F10051015428\n", + "William\n", + "Estrada\n", + "1985-12-31\n", + "M10068079952\n", + "Natalie\n", + "Brown\n", + "1950-09-09\n", + "F10092122352\n", + "Harold\n", + "Rivera\n", + "2011-10-19\n", + "M10103783887\n", + "Jordan\n", + "Gilbert\n", + "2003-03-16\n", + "M10104072787\n", + "Sharon\n", + "Shaw\n", + "1926-05-13\n", + "F10116699599\n", + "Alec\n", + "Smith\n", + "1958-07-31\n", + "M10116742023\n", + "Crystal\n", + "Martin\n", + "1997-09-20\n", + "F10119628924\n", + "Paul\n", + "King\n", + "2014-03-10\n", + "M \n", " \n", "

...

\n", - "

Total: 9933

\n", + "

Total: 9931

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "10008004398 Thomas Li 2009-05-22 \n", - "10010213238 Stacey Mitchell 2015-10-02 \n", - "10012512171 James Henderson 1920-10-09 \n", - "10017661220 Donald Anderson 1955-04-16 \n", - "10025696662 James Small 2016-12-29 \n", - "10037061898 Deborah Foley 1929-02-06 \n", - "10046294691 Gwendolyn Turner 2020-12-19 \n", - "10046839321 Marcia Martinez 1990-07-15 \n", - "10068182298 Victor Clark 1986-09-13 \n", - "10070173668 Ronald Duffy 1969-03-23 \n", - "10070547405 Leah Pratt 1986-06-06 \n", - "10079669194 Ryan Johnson 1978-03-08 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10019062770 Lauren Snyder 1961-08-18 F \n", + "10020965828 Victor Ross 1952-07-12 M \n", + "10040756087 Susan Brown 1992-12-14 F \n", + "10047410808 Paige Holder 1942-09-02 F \n", + "10051015428 William Estrada 1985-12-31 M \n", + "10068079952 Natalie Brown 1950-09-09 F \n", + "10092122352 Harold Rivera 2011-10-19 M \n", + "10103783887 Jordan Gilbert 2003-03-16 M \n", + "10104072787 Sharon Shaw 1926-05-13 F \n", + "10116699599 Alec Smith 1958-07-31 M \n", + "10116742023 Crystal Martin 1997-09-20 F \n", + "10119628924 Paul King 2014-03-10 M \n", " ...\n", - " (Total: 9933)" + " (Total: 9931)" ] }, - "execution_count": 25, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -5345,7 +1418,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -5354,7 +1427,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -5427,69 +1500,84 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10229438507\n", + " 15523841597\n", "Michael\n", - "Coleman\n", - "1984-11-2315111017913\n", + "Lane\n", + "1978-10-30\n", + "M17473604755\n", "Michael\n", - "Taylor\n", - "1996-02-2616036134391\n", + "Garcia\n", + "1988-01-04\n", + "M17839832842\n", "Michael\n", - "Ford\n", - "1978-09-1616624858863\n", + "Novak\n", + "1982-12-13\n", + "M19103518385\n", "Michael\n", - "Miles\n", - "1991-11-1417173339412\n", + "Lee\n", + "1988-05-13\n", + "M21002247444\n", "Michael\n", - "Morse\n", - "1978-09-0721348118081\n", + "Owens\n", + "1989-09-13\n", + "M21096585246\n", "Michael\n", - "Davila\n", - "1979-02-0622741631510\n", + "Jones\n", + "1980-09-28\n", + "M23404263421\n", "Michael\n", - "Williams\n", - "1986-01-0923202751730\n", + "Kramer\n", + "1990-01-02\n", + "M29638831412\n", "Michael\n", - "Dennis\n", - "1988-07-2724034846216\n", + "Atkins\n", + "1981-08-09\n", + "M30870173313\n", "Michael\n", - "Thompson\n", - "1991-01-2024551728814\n", + "Gomez\n", + "1993-08-22\n", + "M31813197078\n", "Michael\n", - "Farrell\n", - "1995-09-2325288932813\n", + "Martinez\n", + "1990-06-27\n", + "M37528261688\n", "Michael\n", - "Johnson\n", - "1984-10-1025485068077\n", + "Richardson\n", + "1991-02-16\n", + "M39402056546\n", "Michael\n", - "Barnes\n", - "1980-10-15 \n", + "Hall\n", + "1984-03-18\n", + "M \n", " \n", "

...

\n", - "

Total: 46

\n", + "

Total: 38

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "10229438507 Michael Coleman 1984-11-23 \n", - "15111017913 Michael Taylor 1996-02-26 \n", - "16036134391 Michael Ford 1978-09-16 \n", - "16624858863 Michael Miles 1991-11-14 \n", - "17173339412 Michael Morse 1978-09-07 \n", - "21348118081 Michael Davila 1979-02-06 \n", - "22741631510 Michael Williams 1986-01-09 \n", - "23202751730 Michael Dennis 1988-07-27 \n", - "24034846216 Michael Thompson 1991-01-20 \n", - "24551728814 Michael Farrell 1995-09-23 \n", - "25288932813 Michael Johnson 1984-10-10 \n", - "25485068077 Michael Barnes 1980-10-15 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +------------+ +------------+ +-----+\n", + "15523841597 Michael Lane 1978-10-30 M \n", + "17473604755 Michael Garcia 1988-01-04 M \n", + "17839832842 Michael Novak 1982-12-13 M \n", + "19103518385 Michael Lee 1988-05-13 M \n", + "21002247444 Michael Owens 1989-09-13 M \n", + "21096585246 Michael Jones 1980-09-28 M \n", + "23404263421 Michael Kramer 1990-01-02 M \n", + "29638831412 Michael Atkins 1981-08-09 M \n", + "30870173313 Michael Gomez 1993-08-22 M \n", + "31813197078 Michael Martinez 1990-06-27 M \n", + "37528261688 Michael Richardson 1991-02-16 M \n", + "39402056546 Michael Hall 1984-03-18 M \n", " ...\n", - " (Total: 46)" + " (Total: 38)" ] }, - "execution_count": 33, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -5500,7 +1588,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -5509,7 +1597,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -5582,69 +1670,84 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10046839321\n", - "Marcia\n", - "Martinez\n", - "1990-07-1510068182298\n", - "Victor\n", - "Clark\n", - "1986-09-1310070547405\n", - "Leah\n", - "Pratt\n", - "1986-06-0610079669194\n", - "Ryan\n", - "Johnson\n", - "1978-03-0810219719840\n", - "Matthew\n", - "Roberts\n", - "1979-11-2110229438507\n", - "Michael\n", - "Coleman\n", - "1984-11-2310291521740\n", - "Melissa\n", - "Davis\n", - "1983-04-2610337689941\n", - "Joshua\n", - "Richardson\n", - "1979-05-0910421485185\n", - "Julie\n", - "Jones\n", - "1989-01-1110433061621\n", - "Mark\n", - "Whitaker\n", - "1994-10-1310460216558\n", - "Cheyenne\n", - "Smith\n", - "1982-06-1110558660459\n", - "Riley\n", - "Johnson\n", - "1991-12-18 \n", + " 10040756087\n", + "Susan\n", + "Brown\n", + "1992-12-14\n", + "F10051015428\n", + "William\n", + "Estrada\n", + "1985-12-31\n", + "M10126431571\n", + "Jessica\n", + "Hayes\n", + "1983-05-29\n", + "F10170646196\n", + "Anthony\n", + "Camacho\n", + "1992-10-11\n", + "M10177712986\n", + "Mario\n", + "Lewis\n", + "1996-06-14\n", + "M10187345213\n", + "Danny\n", + "Ellis\n", + "1993-10-07\n", + "M10324766437\n", + "Karen\n", + "Daniels\n", + "1996-09-04\n", + "F10358655985\n", + "Christina\n", + "Miller\n", + "1978-10-05\n", + "F10430100835\n", + "Maurice\n", + "Leach\n", + "1978-06-10\n", + "M10545086383\n", + "Alexis\n", + "Williams\n", + "1980-08-07\n", + "F10565161854\n", + "Billy\n", + "Price\n", + "1988-09-12\n", + "M10582843624\n", + "Sabrina\n", + "Key\n", + "1989-01-07\n", + "F \n", " \n", "

...

\n", - "

Total: 1562

\n", + "

Total: 1624

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +------------+ +------------+\n", - "10046839321 Marcia Martinez 1990-07-15 \n", - "10068182298 Victor Clark 1986-09-13 \n", - "10070547405 Leah Pratt 1986-06-06 \n", - "10079669194 Ryan Johnson 1978-03-08 \n", - "10219719840 Matthew Roberts 1979-11-21 \n", - "10229438507 Michael Coleman 1984-11-23 \n", - "10291521740 Melissa Davis 1983-04-26 \n", - "10337689941 Joshua Richardson 1979-05-09 \n", - "10421485185 Julie Jones 1989-01-11 \n", - "10433061621 Mark Whitaker 1994-10-13 \n", - "10460216558 Cheyenne Smith 1982-06-11 \n", - "10558660459 Riley Johnson 1991-12-18 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10040756087 Susan Brown 1992-12-14 F \n", + "10051015428 William Estrada 1985-12-31 M \n", + "10126431571 Jessica Hayes 1983-05-29 F \n", + "10170646196 Anthony Camacho 1992-10-11 M \n", + "10177712986 Mario Lewis 1996-06-14 M \n", + "10187345213 Danny Ellis 1993-10-07 M \n", + "10324766437 Karen Daniels 1996-09-04 F \n", + "10358655985 Christina Miller 1978-10-05 F \n", + "10430100835 Maurice Leach 1978-06-10 M \n", + "10545086383 Alexis Williams 1980-08-07 F \n", + "10565161854 Billy Price 1988-09-12 M \n", + "10582843624 Sabrina Key 1989-01-07 F \n", " ...\n", - " (Total: 1562)" + " (Total: 1624)" ] }, - "execution_count": 37, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -5662,7 +1765,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -5735,69 +1838,84 @@ "
\n", "

dob

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10008004398\n", - "Thomas\n", - "Li\n", - "2009-05-2210010213238\n", - "Stacey\n", - "Mitchell\n", - "2015-10-0210012512171\n", - "James\n", - "Henderson\n", - "1920-10-0910017661220\n", - "Donald\n", - "Anderson\n", - "1955-04-1610025696662\n", - "James\n", - "Small\n", - "2016-12-2910037061898\n", - "Deborah\n", - "Foley\n", - "1929-02-0610046294691\n", - "Gwendolyn\n", - "Turner\n", - "2020-12-1910046839321\n", - "Marcia\n", - "Martinez\n", - "1990-07-1510068182298\n", + " 10019062770\n", + "Lauren\n", + "Snyder\n", + "1961-08-18\n", + "F10020965828\n", "Victor\n", - "Clark\n", - "1986-09-1310070173668\n", - "Ronald\n", - "Duffy\n", - "1969-03-2310070547405\n", - "Leah\n", - "Pratt\n", - "1986-06-0610079669194\n", - "Ryan\n", - "Johnson\n", - "1978-03-08 \n", + "Ross\n", + "1952-07-12\n", + "M10040756087\n", + "Susan\n", + "Brown\n", + "1992-12-14\n", + "F10047410808\n", + "Paige\n", + "Holder\n", + "1942-09-02\n", + "F10051015428\n", + "William\n", + "Estrada\n", + "1985-12-31\n", + "M10068079952\n", + "Natalie\n", + "Brown\n", + "1950-09-09\n", + "F10092122352\n", + "Harold\n", + "Rivera\n", + "2011-10-19\n", + "M10103783887\n", + "Jordan\n", + "Gilbert\n", + "2003-03-16\n", + "M10104072787\n", + "Sharon\n", + "Shaw\n", + "1926-05-13\n", + "F10116699599\n", + "Alec\n", + "Smith\n", + "1958-07-31\n", + "M10116742023\n", + "Crystal\n", + "Martin\n", + "1997-09-20\n", + "F10119628924\n", + "Paul\n", + "King\n", + "2014-03-10\n", + "M \n", " \n", "

...

\n", - "

Total: 10001

\n", + "

Total: 10501

\n", " " ], "text/plain": [ - "*phone first_name last_name dob \n", - "+------------+ +------------+ +-----------+ +------------+\n", - "10008004398 Thomas Li 2009-05-22 \n", - "10010213238 Stacey Mitchell 2015-10-02 \n", - "10012512171 James Henderson 1920-10-09 \n", - "10017661220 Donald Anderson 1955-04-16 \n", - "10025696662 James Small 2016-12-29 \n", - "10037061898 Deborah Foley 1929-02-06 \n", - "10046294691 Gwendolyn Turner 2020-12-19 \n", - "10046839321 Marcia Martinez 1990-07-15 \n", - "10068182298 Victor Clark 1986-09-13 \n", - "10070173668 Ronald Duffy 1969-03-23 \n", - "10070547405 Leah Pratt 1986-06-06 \n", - "10079669194 Ryan Johnson 1978-03-08 \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10019062770 Lauren Snyder 1961-08-18 F \n", + "10020965828 Victor Ross 1952-07-12 M \n", + "10040756087 Susan Brown 1992-12-14 F \n", + "10047410808 Paige Holder 1942-09-02 F \n", + "10051015428 William Estrada 1985-12-31 M \n", + "10068079952 Natalie Brown 1950-09-09 F \n", + "10092122352 Harold Rivera 2011-10-19 M \n", + "10103783887 Jordan Gilbert 2003-03-16 M \n", + "10104072787 Sharon Shaw 1926-05-13 F \n", + "10116699599 Alec Smith 1958-07-31 M \n", + "10116742023 Crystal Martin 1997-09-20 F \n", + "10119628924 Paul King 2014-03-10 M \n", " ...\n", - " (Total: 10001)" + " (Total: 10501)" ] }, - "execution_count": 38, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -5808,7 +1926,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -5873,32 +1991,32 @@ "

phone

\n", " \n", " \n", - " 100080043981001021323810012512171100176612201002569666210037061898100462946911004683932110068182298100701736681007054740510079669194 \n", + " 100190627701002096582810040756087100474108081005101542810068079952100921223521010378388710104072787101166995991011674202310119628924 \n", " \n", "

...

\n", - "

Total: 10001

\n", + "

Total: 10501

\n", " " ], "text/plain": [ "*phone \n", "+------------+\n", - "10008004398 \n", - "10010213238 \n", - "10012512171 \n", - "10017661220 \n", - "10025696662 \n", - "10037061898 \n", - "10046294691 \n", - "10046839321 \n", - "10068182298 \n", - "10070173668 \n", - "10070547405 \n", - "10079669194 \n", + "10019062770 \n", + "10020965828 \n", + "10040756087 \n", + "10047410808 \n", + "10051015428 \n", + "10068079952 \n", + "10092122352 \n", + "10103783887 \n", + "10104072787 \n", + "10116699599 \n", + "10116742023 \n", + "10119628924 \n", " ...\n", - " (Total: 10001)" + " (Total: 10501)" ] }, - "execution_count": 39, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -5909,7 +2027,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -5977,44 +2095,44 @@ "

last_name

\n", " \n", " \n", - " 10008004398\n", - "Li10010213238\n", - "Mitchell10012512171\n", - "Henderson10017661220\n", - "Anderson10025696662\n", - "Small10037061898\n", - "Foley10046294691\n", - "Turner10046839321\n", - "Martinez10068182298\n", - "Clark10070173668\n", - "Duffy10070547405\n", - "Pratt10079669194\n", - "Johnson \n", + " 10019062770\n", + "Snyder10020965828\n", + "Ross10040756087\n", + "Brown10047410808\n", + "Holder10051015428\n", + "Estrada10068079952\n", + "Brown10092122352\n", + "Rivera10103783887\n", + "Gilbert10104072787\n", + "Shaw10116699599\n", + "Smith10116742023\n", + "Martin10119628924\n", + "King \n", " \n", "

...

\n", - "

Total: 10001

\n", + "

Total: 10501

\n", " " ], "text/plain": [ "*phone last_name \n", "+------------+ +-----------+\n", - "10008004398 Li \n", - "10010213238 Mitchell \n", - "10012512171 Henderson \n", - "10017661220 Anderson \n", - "10025696662 Small \n", - "10037061898 Foley \n", - "10046294691 Turner \n", - "10046839321 Martinez \n", - "10068182298 Clark \n", - "10070173668 Duffy \n", - "10070547405 Pratt \n", - "10079669194 Johnson \n", + "10019062770 Snyder \n", + "10020965828 Ross \n", + "10040756087 Brown \n", + "10047410808 Holder \n", + "10051015428 Estrada \n", + "10068079952 Brown \n", + "10092122352 Rivera \n", + "10103783887 Gilbert \n", + "10104072787 Shaw \n", + "10116699599 Smith \n", + "10116742023 Martin \n", + "10119628924 King \n", " ...\n", - " (Total: 10001)" + " (Total: 10501)" ] }, - "execution_count": 42, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -6025,7 +2143,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -6095,57 +2213,72 @@ "
\n", "

last_name

\n", " \n", + "
\n", + "

sex

\n", + " \n", "
\n", - " 10008004398\n", - "Thomas\n", - "Li10010213238\n", - "Stacey\n", - "Mitchell10012512171\n", - "James\n", - "Henderson10017661220\n", - "Donald\n", - "Anderson10025696662\n", - "James\n", - "Small10037061898\n", - "Deborah\n", - "Foley10046294691\n", - "Gwendolyn\n", - "Turner10046839321\n", - "Marcia\n", - "Martinez10068182298\n", + " 10019062770\n", + "Lauren\n", + "Snyder\n", + "F10020965828\n", "Victor\n", - "Clark10070173668\n", - "Ronald\n", - "Duffy10070547405\n", - "Leah\n", - "Pratt10079669194\n", - "Ryan\n", - "Johnson \n", + "Ross\n", + "M10040756087\n", + "Susan\n", + "Brown\n", + "F10047410808\n", + "Paige\n", + "Holder\n", + "F10051015428\n", + "William\n", + "Estrada\n", + "M10068079952\n", + "Natalie\n", + "Brown\n", + "F10092122352\n", + "Harold\n", + "Rivera\n", + "M10103783887\n", + "Jordan\n", + "Gilbert\n", + "M10104072787\n", + "Sharon\n", + "Shaw\n", + "F10116699599\n", + "Alec\n", + "Smith\n", + "M10116742023\n", + "Crystal\n", + "Martin\n", + "F10119628924\n", + "Paul\n", + "King\n", + "M \n", " \n", "

...

\n", - "

Total: 10001

\n", + "

Total: 10501

\n", " " ], "text/plain": [ - "*phone first_name last_name \n", - "+------------+ +------------+ +-----------+\n", - "10008004398 Thomas Li \n", - "10010213238 Stacey Mitchell \n", - "10012512171 James Henderson \n", - "10017661220 Donald Anderson \n", - "10025696662 James Small \n", - "10037061898 Deborah Foley \n", - "10046294691 Gwendolyn Turner \n", - "10046839321 Marcia Martinez \n", - "10068182298 Victor Clark \n", - "10070173668 Ronald Duffy \n", - "10070547405 Leah Pratt \n", - "10079669194 Ryan Johnson \n", + "*phone first_name last_name sex \n", + "+------------+ +------------+ +-----------+ +-----+\n", + "10019062770 Lauren Snyder F \n", + "10020965828 Victor Ross M \n", + "10040756087 Susan Brown F \n", + "10047410808 Paige Holder F \n", + "10051015428 William Estrada M \n", + "10068079952 Natalie Brown F \n", + "10092122352 Harold Rivera M \n", + "10103783887 Jordan Gilbert M \n", + "10104072787 Sharon Shaw F \n", + "10116699599 Alec Smith M \n", + "10116742023 Crystal Martin F \n", + "10119628924 Paul King M \n", " ...\n", - " (Total: 10001)" + " (Total: 10501)" ] }, - "execution_count": 44, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -6156,7 +2289,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -6165,7 +2298,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ From 9857f30f6e7d5947590a3cc0471198bf70946597 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 3 Oct 2023 22:40:51 +0000 Subject: [PATCH 16/33] specify homework 5 --- db-course/004-Design.ipynb | 464 ++------------------------------- db-course/004-DesignSQL.ipynb | 21 +- db-course/005-Queries-HW.ipynb | 301 +++++---------------- 3 files changed, 92 insertions(+), 694 deletions(-) diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb index 7acf86f..764f555 100644 --- a/db-course/004-Design.ipynb +++ b/db-course/004-Design.ipynb @@ -11,7 +11,7 @@ "1. Users can subscribe for a free account identified by their US phone number without extensions. Provide first and last name, date of birth (optional), and sex (optional).\n", "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVV.\n", "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", - "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." + "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. Include a purchase date. A user cannot purchase the same addon twice. " ] }, { @@ -23,18 +23,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-01 23:35:46,394][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-01 23:35:46,411][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], + "outputs": [], "source": [ "import datajoint as dj\n", "\n", @@ -43,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -61,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -79,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -96,110 +87,16 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

addon_id

\n", - " \n", - "
\n", - "

addon_name

\n", - " \n", - "
\n", - "

price

\n", - " \n", - "
1Track & Field13.99
2Marathon26.20
3Sprint100.00
\n", - " \n", - "

Total: 3

\n", - " " - ], - "text/plain": [ - "*addon_id addon_name price \n", - "+----------+ +------------+ +--------+\n", - "1 Track & Field 13.99 \n", - "2 Marathon 26.20 \n", - "3 Sprint 100.00 \n", - " (Total: 3)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "AddOn()" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -210,184 +107,24 @@ " -> AddOn\n", " ---\n", " -> CreditCard\n", + " purchase_date : date \n", " \"\"\"" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "
\n", - "

phone

\n", - " \n", - "
\n", - "

addon_id

\n", - " \n", - "
\n", - "

card_number

\n", - " \n", - "
\n", - " \n", - "

Total: 0

\n", - " " - ], - "text/plain": [ - "*phone *addon_id card_number \n", - "+-------+ +----------+ +------------+\n", - "\n", - " (Total: 0)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Purchase()" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "dj.Diagram(schema)" ] @@ -402,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -414,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -429,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -458,168 +195,16 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

phone

\n", - " \n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - "

dob

\n", - " \n", - "
\n", - "

sex

\n", - " \n", - "
10019062770LaurenSnyder1961-08-18F
10020965828VictorRoss1952-07-12M
10040756087SusanBrown1992-12-14F
10047410808PaigeHolder1942-09-02F
10051015428WilliamEstrada1985-12-31M
10068079952NatalieBrown1950-09-09F
10092122352HaroldRivera2011-10-19M
10103783887JordanGilbert2003-03-16M
10104072787SharonShaw1926-05-13F
10116699599AlecSmith1958-07-31M
10116742023CrystalMartin1997-09-20F
10119628924PaulKing2014-03-10M
\n", - "

...

\n", - "

Total: 10501

\n", - " " - ], - "text/plain": [ - "*phone first_name last_name dob sex \n", - "+------------+ +------------+ +-----------+ +------------+ +-----+\n", - "10019062770 Lauren Snyder 1961-08-18 F \n", - "10020965828 Victor Ross 1952-07-12 M \n", - "10040756087 Susan Brown 1992-12-14 F \n", - "10047410808 Paige Holder 1942-09-02 F \n", - "10051015428 William Estrada 1985-12-31 M \n", - "10068079952 Natalie Brown 1950-09-09 F \n", - "10092122352 Harold Rivera 2011-10-19 M \n", - "10103783887 Jordan Gilbert 2003-03-16 M \n", - "10104072787 Sharon Shaw 1926-05-13 F \n", - "10116699599 Alec Smith 1958-07-31 M \n", - "10116742023 Crystal Martin 1997-09-20 F \n", - "10119628924 Paul King 2014-03-10 M \n", - " ...\n", - " (Total: 10501)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Account()" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -668,7 +253,7 @@ "unique_purchases = [purchases.pop()]\n", "for purchase in purchases:\n", " if (purchase['phone'], purchase['addon_id']) != (unique_purchases[-1]['phone'], unique_purchases[-1]['addon_id']):\n", - " unique_purchases.append(purchase)\n", + " unique_purchases.append(dict(purchase, purchase_date=fake.past_date()))\n", "\n", "# insert a random subset \n", "Purchase.insert(random.sample(unique_purchases, 5000))" @@ -682,6 +267,13 @@ "source": [ "schema.drop() # optionally drop the schema to clear before the next run" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/db-course/004-DesignSQL.ipynb b/db-course/004-DesignSQL.ipynb index 81d01f9..f724191 100644 --- a/db-course/004-DesignSQL.ipynb +++ b/db-course/004-DesignSQL.ipynb @@ -13,23 +13,14 @@ "1. Users can subscribe for free, identified by their US phone number without extensions. Provide first and last name.\n", "2. Users can add one or more credits cards to their account. Store zipcode, expiration date, and the CVC.\n", "3. The app has paid add-ons called \"Track & Field\", \"Marathon\", and \"Sprint\", each with a fixed price.\n", - "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice." + "4. A user can purchase each add-on, in which case she must provide a credit card for the purchase. A user cannot purchase the same addon twice. Include the purchase date." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The sql extension is already loaded. To reload it, use:\n", - " %reload_ext sql\n" - ] - } - ], + "outputs": [], "source": [ "import pymysql\n", "pymysql.install_as_MySQLdb()\n", @@ -42,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -68,7 +59,7 @@ "[]" ] }, - "execution_count": 6, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } diff --git a/db-course/005-Queries-HW.ipynb b/db-course/005-Queries-HW.ipynb index 56a4cdd..e3d4de4 100644 --- a/db-course/005-Queries-HW.ipynb +++ b/db-course/005-Queries-HW.ipynb @@ -13,92 +13,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-02 01:53:59,830][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-02 01:53:59,836][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - }, - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard->Purchase\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "import datajoint as dj\n", "schema = dj.Schema('app')\n", @@ -107,165 +24,10 @@ ] }, { - "cell_type": "code", - "execution_count": 13, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

phone

\n", - " \n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - "

dob

\n", - " \n", - "
\n", - "

sex

\n", - " \n", - "
10119628924PaulKing2014-03-10M
10654544184PaulaGibson1964-06-17F
12623996456PaulDavis1941-10-02M
13045495630PaulPage1966-01-29M
15260885919PaulaMoreno1920-09-12F
15411070504PaulFreeman2022-05-06M
17893838071PaulaPatel1964-05-08F
18771323137PaulAlvarado1947-11-18M
18904286829PaulKelly2017-05-25M
19461966017PaulGuzman1926-05-26M
21025887328PaulFrazier1954-08-22M
22726453483PaulaRay2014-01-12F
\n", - "

...

\n", - "

Total: 63

\n", - " " - ], - "text/plain": [ - "*phone first_name last_name dob sex \n", - "+------------+ +------------+ +-----------+ +------------+ +-----+\n", - "10119628924 Paul King 2014-03-10 M \n", - "10654544184 Paula Gibson 1964-06-17 F \n", - "12623996456 Paul Davis 1941-10-02 M \n", - "13045495630 Paul Page 1966-01-29 M \n", - "15260885919 Paula Moreno 1920-09-12 F \n", - "15411070504 Paul Freeman 2022-05-06 M \n", - "17893838071 Paula Patel 1964-05-08 F \n", - "18771323137 Paul Alvarado 1947-11-18 M \n", - "18904286829 Paul Kelly 2017-05-25 M \n", - "19461966017 Paul Guzman 1926-05-26 M \n", - "21025887328 Paul Frazier 1954-08-22 M \n", - "22726453483 Paula Ray 2014-01-12 F \n", - " ...\n", - " (Total: 63)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "# Problem 1 (solved). All accounts last_names for persons named \"Paul\" or \"Paula\"\n", - "Account & 'first_name in (\"Paul\", \"Paula\")'" + "#### Problem 1 (solved). All accounts last_names for persons named \"Paul\" or \"Paula\" born in the 1990s" ] }, { @@ -274,8 +36,61 @@ "metadata": {}, "outputs": [], "source": [ - "# # Problem 2 (solved). All last_names for persons named \"Paul\" or \"Paula\", ordered by dob\n" + "\n", + "Account & 'first_name in (\"Paul\", \"Paula\")' & 'year(dob) between 1990 and 1999'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Problem 2: Show the 10 youngest males whose last names start with \"Ra\"\n", + "Hint: Look into the use of wildcard pattern matching in MySQL https://dev.mysql.com/doc/refman/8.0/en/pattern-matching.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Problem 3: Show full names of the people who omitted their date of birth. Sort them alphabetically by last name / first name. Show the first 10 only.\n", + "Hint: look into the use of string https://dev.mysql.com/doc/refman/8.0/en/string-functions.html\n", + "\n", + "Hint: Comparing to NULL, use `IS NULL` or `IS NOT NULL` https://dev.mysql.com/doc/refman/8.0/en/working-with-null.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Problem 4: Show the full names of all females born in June, also showing their age in years. Sort by last name / first name and show the first 10 only.\n", + "Hint: look into date functions https://dev.mysql.com/doc/refman/8.0/en/date-and-time-functions.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Problem 5: Show the full information of the youngest person who has a credit card." ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Problem 6: Show the full information of the oldest person who does not have a credit card." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Problem 7: Show the first 10 customers who purchased the \"Sprint Add-on\", including their age in years." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": { From 43451edd5ce100b6cf6f0fd53962b51914ddb636 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 3 Oct 2023 22:41:36 +0000 Subject: [PATCH 17/33] minor correction --- db-course/005-Queries-HW.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/db-course/005-Queries-HW.ipynb b/db-course/005-Queries-HW.ipynb index e3d4de4..6466105 100644 --- a/db-course/005-Queries-HW.ipynb +++ b/db-course/005-Queries-HW.ipynb @@ -84,7 +84,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Problem 7: Show the first 10 customers who purchased the \"Sprint Add-on\", including their age in years." + "#### Problem 7: Show the first 10 customers who purchased the \"Sprint\" addon, including their age in years." ] }, { From 24392c4c6e2161e76087abdff845adaaa362aa15 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 17 Oct 2023 18:05:43 -0400 Subject: [PATCH 18/33] add JuliaSets to db-course --- db-course/JuliaSets.ipynb | 238 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 238 insertions(+) create mode 100644 db-course/JuliaSets.ipynb diff --git a/db-course/JuliaSets.ipynb b/db-course/JuliaSets.ipynb new file mode 100644 index 0000000..53199e4 --- /dev/null +++ b/db-course/JuliaSets.ipynb @@ -0,0 +1,238 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8607eb0e", + "metadata": {}, + "source": [ + "# Julia Sets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "87bd1a0f", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "from matplotlib import pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3f5a75af", + "metadata": {}, + "outputs": [], + "source": [ + "def julia(c, size=256, center=(0.0, 0.0), zoom=1.0, iters=256):\n", + " x, y = np.meshgrid(\n", + " np.linspace(-1, 1, size)/zoom + center[0], \n", + " np.linspace(-1, 1, size)/zoom + center[1], \n", + " )\n", + " z = x + 1j * y\n", + " im = np.zeros(z.shape)\n", + " ix = np.ones(z.shape, dtype=bool)\n", + " for i in range(iters):\n", + " z[ix] = z[ix] ** 2 + c\n", + " ix = np.abs(z) < 2\n", + " im += ix\n", + " return im" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79556895", + "metadata": {}, + "outputs": [], + "source": [ + "plt.imshow(julia(-0.4+0.6j), cmap='magma')\n", + "plt.axis(False);" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a43baa42", + "metadata": {}, + "outputs": [], + "source": [ + "plt.imshow(julia(-0.4+0.6j, center=(0.34, -0.30), zoom=10000.0), cmap='magma')\n", + "plt.axis(False);" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c63ce73", + "metadata": {}, + "outputs": [], + "source": [ + "c = (\n", + " -0.4 + 0.6j, \n", + " -0.74543 + 0.11301j, \n", + " -0.75 + 0.11j, \n", + " -0.1 + 0.651j,\n", + " -0.835 - 0.2321j,\n", + " -0.70176 - 0.3842j,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cfc85940", + "metadata": {}, + "outputs": [], + "source": [ + "noise_level = 5.0\n", + "\n", + "fig, ax = plt.subplots(3, 2, figsize=(10, 16))\n", + "for c_, a in zip(c, ax.flatten()):\n", + " img = julia(c_, zoom=0.5) \n", + " img += np.random.randn(*img.shape) * noise_level\n", + " a.imshow(img, cmap='magma')\n", + " a.axis(False)" + ] + }, + { + "cell_type": "markdown", + "id": "b01e70d9", + "metadata": {}, + "source": [ + "# Image processing" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4069a34", + "metadata": {}, + "outputs": [], + "source": [ + "from skimage import data\n", + "from skimage import filters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39bc25c7", + "metadata": {}, + "outputs": [], + "source": [ + "from skimage.morphology import disk\n", + "from skimage import restoration" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aa225a15", + "metadata": {}, + "outputs": [], + "source": [ + "noise_level = 50.0\n", + "img = julia(-0.4+0.6j, size=200)\n", + "noise_img = img + np.random.randn(*img.shape) * noise_level\n", + "median_img = filters.median(noise_img, disk(3))\n", + "tv_img = restoration.denoise_tv_chambolle(noise_img, weight=20.0)\n", + "wavelet_img = restoration.denoise_wavelet(noise_img)\n", + "gaussian_img = filters.gaussian(noise_img, sigma=1.8)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d60ecafd", + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(3, 2, figsize=(12, 18))\n", + "for a, (im, title) in zip(\n", + " ax.flatten(),\n", + " ((img, 'original'), \n", + " (noise_img, 'original+noise'),\n", + " (gaussian_img, 'gaussian'),\n", + " (median_img, 'median'), \n", + " (wavelet_img, 'wavelet'),\n", + " (tv_img, 'tv'), )):\n", + " a.imshow(im, cmap='magma', vmin=0, vmax=255)\n", + " a.axis(False)\n", + " a.set_title(title)" + ] + }, + { + "cell_type": "markdown", + "id": "b495345a", + "metadata": {}, + "source": [ + "# DataJoint Pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9015c43e", + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "62067735", + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.Schema('julia')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4c4ef4a9", + "metadata": {}, + "outputs": [], + "source": [ + "img.max()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5630641b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "benv", + "language": "python", + "name": "benv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 71fea0595ec1852f57fec8e912db68d308e5b468 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 18 Oct 2023 01:05:31 +0000 Subject: [PATCH 19/33] add Lecture006 --- db-course/004-Design-HW.ipynb | 174 ++++ db-course/004-Design.ipynb | 453 +++++++++- db-course/006-Joins.ipynb | 1444 +++++++++++++++++++++++++++++++ db-course/006-JoinsSQL.ipynb | 702 +++++++++++++++ db-course/JuliaSets.ipynb | 81 +- db-course/UUID.ipynb | 1233 ++++++++++++++++++++++---- short_tutorials/JuliaSets.ipynb | 464 +++++++++- 7 files changed, 4336 insertions(+), 215 deletions(-) create mode 100644 db-course/006-Joins.ipynb create mode 100644 db-course/006-JoinsSQL.ipynb diff --git a/db-course/004-Design-HW.ipynb b/db-course/004-Design-HW.ipynb index bf1d0a7..4dbc644 100644 --- a/db-course/004-Design-HW.ipynb +++ b/db-course/004-Design-HW.ipynb @@ -31,6 +31,42 @@ "3. If assignment has been graded, store the grade for each student and each assignment." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " student_id: int\n", + " ---\n", + " first_name : varchar(64)\n", + " last_name : varchar(64)\n", + " email : varchar(100) NOT NULL\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Assignment(dj.Manual):\n", + " definition = \"\"\"\n", + " assignment_id: int\n", + " ---\n", + " title: varchar(100)\n", + " specification_link: varchar(255)\n", + " due_date: date\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class GradedAssignment(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " -> Assignment\n", + " ---\n", + " grade: decimal(5,2)\n", + " \"\"\"" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -45,6 +81,49 @@ "5. Some books are not checked out." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class BookTitle(dj.Manual):\n", + " definition = \"\"\"\n", + " isbn: varchar(13)\n", + " ---\n", + " title: varchar(255)\n", + " author: varchar(255)\n", + " \"\"\"\n", + "\n", + " \n", + "@schema\n", + "class Copy(dj.Manual):\n", + " definition = \"\"\"\n", + " -> BookTitle\n", + " copy_id: int \n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Member(dj.Manual):\n", + " definition = \"\"\"\n", + " member_id: int\n", + " ---\n", + " name: varchar(255)\n", + " address: varchar(255)\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Checkout(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Copy\n", + " ---\n", + " -> Member\n", + " checkout_date: date\n", + " return_date: date \n", + " \"\"\"" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -60,6 +139,101 @@ "\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Branch(dj.Manual):\n", + " definition = \"\"\"\n", + " branch_id : int \n", + " ---\n", + " address : varchar(255) \n", + " phone_number : varchar(12) \n", + " \n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Customer(dj.Manual):\n", + " definition = \"\"\"\n", + " customer_id : int \n", + " ---\n", + " address : varchar(255) \n", + " phone_number : int \n", + " first_name : varchar(255) \n", + " last_name : varchar(255) \n", + " dob : date\n", + " number_of_accounts : int \n", + " -> Branch.proj(home_branch=\"branch_id\")\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Account(dj.Manual):\n", + " definition = \"\"\"\n", + " account_id : int \n", + " ---\n", + " address : varchar(255) \n", + " phone_number : int \n", + " first_name : varchar(255) \n", + " last_name : vbarchar(255) \n", + " dob : date\n", + " account_type : enum(\"savings\", \"checking\")\n", + " -> Customer\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Bank(dj.Manual):\n", + " definition = \"\"\" \n", + " bank_id: SMALLINT UNSIGNED\n", + " ---\n", + " bank_name: VARCHAR(30)\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class HomeBranch(dj.Manual):\n", + " definition = \"\"\" \n", + " -> Bank\n", + " branch_id: INT UNSIGNED\n", + " ---\n", + " street_address: VARCHAR(100)\n", + " branch_phone: BIGINT\n", + " bank_email: VARCHAR(100)\n", + "\n", + "\"\"\"\n", + "\n", + "@schema\n", + "class Customers(dj.Manual):\n", + " definition = \"\"\" \n", + " -> HomeBranch\n", + " customer_id: SMALLINT UNSIGNED\n", + " ---\n", + " first_name: VARCHAR(30)\n", + " last_name: VARCHAR(30)\n", + " date_of_birth: DATE\n", + " customer_email: VARCHAR(100)\n", + " phone: BIGINT UNSIGNED \n", + "\"\"\"\n", + "\n", + "\n", + "@schema\n", + "class CustomerAccount(dj.Manual):\n", + " definition = \"\"\" \n", + " -> Customer\n", + " account_num: BIGINT UNSIGNED\n", + " ---\n", + " account_type: ENUM('CHECKING','SAVINGS')\n", + "\"\"\"" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb index 764f555..8049295 100644 --- a/db-course/004-Design.ipynb +++ b/db-course/004-Design.ipynb @@ -23,9 +23,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-18 00:11:41,855][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-18 00:11:41,862][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "\n", @@ -34,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -70,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -87,16 +96,110 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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Total: 10501

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Total: 5000

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100032142412SamanthaJohnson1948-01-03FMarathon26.20
100032142411SamanthaJohnson1948-01-03FTrack & Field13.99
100133045973KeithPage1981-06-02MSprint100.00
100133045972KeithPage1981-06-02MMarathon26.20
100133045971KeithPage1981-06-02MTrack & Field13.99
100197920103GregMatthews1964-06-26MSprint100.00
100197920102GregMatthews1964-06-26MMarathon26.20
100197920101GregMatthews1964-06-26MTrack & Field13.99
100220781533TammyThompson1998-02-18FSprint100.00
100220781532TammyThompson1998-02-18FMarathon26.20
100220781531TammyThompson1998-02-18FTrack & Field13.99
\n", + "

...

\n", + "

Total: 31503

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100220781533TammyThompson1998-02-18FSprint100.00
100220781532TammyThompson1998-02-18FMarathon26.20
100220781531TammyThompson1998-02-18FTrack & Field13.99
100395357763RachelGrant1910-04-13FSprint100.00
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100424186093KimberlyHoffman1934-07-15FSprint100.00
100424186092KimberlyHoffman1934-07-15FMarathon26.20
100424186091KimberlyHoffman1934-07-15FTrack & Field13.99
\n", + "

...

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Total: 15000

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...

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Total: 5000

\n", + " " + ], + "text/plain": [ + "*phone *addon_id card_number purchase_date addon_name price \n", + "+------------+ +----------+ +------------+ +------------+ +------------+ +-------+\n", + "10042418609 1 27183658672670 2023-10-09 Track & Field 13.99 \n", + "10044400960 1 639056218170 2023-09-28 Track & Field 13.99 \n", + "10060050070 1 22819981956669 2023-09-28 Track & Field 13.99 \n", + "10072019284 1 630407400153 2023-09-28 Track & Field 13.99 \n", + "10078599367 1 41366209311713 2023-10-09 Track & Field 13.99 \n", + "10088316347 1 60116045337915 2023-10-09 Track & Field 13.99 \n", + "10226538724 1 37091231492063 2023-10-10 Track & Field 13.99 \n", + "10230780871 1 21319089420816 2023-09-29 Track & Field 13.99 \n", + "10265798436 1 4989531517878 2023-09-23 Track & Field 13.99 \n", + "10273472573 1 37647738426023 2023-09-25 Track & Field 13.99 \n", + "10280307297 1 18001770645615 2023-10-03 Track & Field 13.99 \n", + "10485571543 1 21312140151216 2023-10-13 Track & Field 13.99 \n", + " ...\n", + " (Total: 5000)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Purchase * AddOn" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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1004440096016390562181702023-09-28Track & Field13.99
10060050070122819981956669212023-09-28Track & Field13.99
1007201928416304074001532023-09-28Track & Field13.99
10078599367141366209311713612023-10-09Track & Field13.99
10088316347160116045337915652023-10-09Track & Field13.99
1022653872413709123149206362023-10-10Track & Field13.99
1023078087112131908942081662023-09-29Track & Field13.99
10265798436149895315178782023-09-23Track & Field13.99
1027347257313764773842602342023-09-25Track & Field13.99
1028030729711800177064561552023-10-03Track & Field13.99
1048557154312131214015121622023-10-13Track & Field13.99
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...

\n", + "

Total: 5000

\n", + " " + ], + "text/plain": [ + "*phone *addon_id card_number purchase_date addon_name price \n", + "+------------+ +----------+ +------------+ +------------+ +------------+ +-------+\n", + "10042418609 1 27183658672670 2023-10-09 Track & Field 13.99 \n", + "10044400960 1 639056218170 2023-09-28 Track & Field 13.99 \n", + "10060050070 1 22819981956669 2023-09-28 Track & Field 13.99 \n", + "10072019284 1 630407400153 2023-09-28 Track & Field 13.99 \n", + "10078599367 1 41366209311713 2023-10-09 Track & Field 13.99 \n", + "10088316347 1 60116045337915 2023-10-09 Track & Field 13.99 \n", + "10226538724 1 37091231492063 2023-10-10 Track & Field 13.99 \n", + "10230780871 1 21319089420816 2023-09-29 Track & Field 13.99 \n", + "10265798436 1 4989531517878 2023-09-23 Track & Field 13.99 \n", + "10273472573 1 37647738426023 2023-09-25 Track & Field 13.99 \n", + "10280307297 1 18001770645615 2023-10-03 Track & Field 13.99 \n", + "10485571543 1 21312140151216 2023-10-13 Track & Field 13.99 \n", + " ...\n", + " (Total: 5000)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Purchase * AddOn" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int \n", + " --- \n", + " full_name : varchar(60)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Dependent(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " -> Person.proj(provider_id=\"person_id\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "0\n", + "\n", + "0\n", + "\n", + "\n", + "\n", + "Dependent\n", + "\n", + "\n", + "Dependent\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0->Dependent\n", + "\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->0\n", + "\n", + "\n", + "\n", + "\n", + "Person->Dependent\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert((\n", + " (1, \"Bob\"),\n", + " (2, \"Anne\"),\n", + " (3, \"Dave\"),\n", + " (4, \"Carol\")\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "Dependent.insert1((2, 1))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "Dependent.insert1((3, 1))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "Dependent.insert1((4, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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person_id

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\n", + "

provider_id

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full_name

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\n", + "

provider_full_name

\n", + " \n", + "
21AnneBob
31DaveBob
42CarolAnne
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*person_id *provider_id full_name provider_full_\n", + "+-----------+ +------------+ +-----------+ +------------+\n", + "2 1 Anne Bob \n", + "3 1 Dave Bob \n", + "4 2 Carol Anne \n", + " (Total: 3)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person * Dependent * Person.proj(provider_id=\"person_id\", provider_full_name=\"full_name\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/006-JoinsSQL.ipynb b/db-course/006-JoinsSQL.ipynb new file mode 100644 index 0000000..57a187d --- /dev/null +++ b/db-course/006-JoinsSQL.ipynb @@ -0,0 +1,702 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "\n", + "connection_string = \"mysql://root:simple@127.0.0.1\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%sql $connection_string" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Joins" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "CREATE SCHEMA depend" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "use depend" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "(pymysql.err.OperationalError) (1050, \"Table 'person' already exists\")\n", + "[SQL: CREATE TABLE person (\n", + " person_id int,\n", + " full_name varchar(60),\n", + " PRIMARY KEY (person_id)\n", + ");]\n", + "(Background on this error at: https://sqlalche.me/e/20/e3q8)\n" + ] + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE person (\n", + " person_id int,\n", + " full_name varchar(60),\n", + " PRIMARY KEY (person_id)\n", + ");" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "CREATE TABLE dependent (\n", + " person_id int,\n", + " provider_id int,\n", + " PRIMARY KEY (person_id),\n", + " FOREIGN KEY (person_id) REFERENCES person(person_id), \n", + " FOREIGN KEY (provider_id) REFERENCES person(person_id))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "4 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "INSERT INTO person (person_id, full_name) VALUES \n", + " (1, \"Bob\"),\n", + " (2, \"Anne\"),\n", + " (3, \"Dave\"),\n", + " (4, \"Carol\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "4 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql \n", + "INSERT INTO dependent (person_id, provider_id) VALUES \n", + " (2, 1),\n", + " (3, 1),\n", + " (4, 2),\n", + " (1, 4)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "16 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 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person_idfull_nameperson_id_1full_name_1
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person_idfull_nameperson_id_1provider_id
2Anne14
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4Carol14
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" + ], + "text/plain": [ + "[(2, 'Anne', 1, 4),\n", + " (3, 'Dave', 1, 4),\n", + " (3, 'Dave', 2, 1),\n", + " (4, 'Carol', 1, 4),\n", + " (4, 'Carol', 2, 1),\n", + " (4, 'Carol', 3, 1)]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- inner product: cartesian product restricted by a condition on joining attributes\n", + "SELECT * FROM person join dependent ON person.person_id = dependent.person_id" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "4 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
person_idfull_nameprovider_id
1Bob4
2Anne1
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4Carol2
" + ], + "text/plain": [ + "[(1, 'Bob', 4), (2, 'Anne', 1), (3, 'Dave', 1), (4, 'Carol', 2)]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- equijoin on a common attribute\n", + "SELECT * FROM person JOIN dependent USING (person_id) " + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "4 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
person_idfull_nameprovider_id
1Bob4
2Anne1
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4Carol2
" + ], + "text/plain": [ + "[(1, 'Bob', 4), (2, 'Anne', 1), (3, 'Dave', 1), (4, 'Carol', 2)]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- equijoin on a common attribute\n", + "SELECT * FROM person NATURAL JOIN dependent " + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "4 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
person_idfull_nameperson_id_1provider_idprovider_name
1Bob14Carol
2Anne21Bob
3Dave31Bob
4Carol42Anne
" + ], + "text/plain": [ + "[(1, 'Bob', 1, 4, 'Carol'),\n", + " (2, 'Anne', 2, 1, 'Bob'),\n", + " (3, 'Dave', 3, 1, 'Bob'),\n", + " (4, 'Carol', 4, 2, 'Anne')]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- joining three tables\n", + "SELECT p1.*, dependent.*, provider.full_name as provider_name \n", + " FROM person as p1 JOIN dependent JOIN person as provider ON p1.person_id = dependent.person_id AND provider.person_id = dependent.provider_id " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/JuliaSets.ipynb b/db-course/JuliaSets.ipynb index 53199e4..070fbe5 100644 --- a/db-course/JuliaSets.ipynb +++ b/db-course/JuliaSets.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "87bd1a0f", "metadata": {}, "outputs": [], @@ -22,7 +22,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "3f5a75af", "metadata": {}, "outputs": [], @@ -44,10 +44,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "79556895", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.imshow(julia(-0.4+0.6j), cmap='magma')\n", "plt.axis(False);" @@ -55,10 +66,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "a43baa42", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.imshow(julia(-0.4+0.6j, center=(0.34, -0.30), zoom=10000.0), cmap='magma')\n", "plt.axis(False);" @@ -66,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "3c63ce73", "metadata": {}, "outputs": [], @@ -83,12 +105,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "cfc85940", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "noise_level = 5.0\n", + "noise_level = 0.0\n", "\n", "fig, ax = plt.subplots(3, 2, figsize=(10, 16))\n", "for c_, a in zip(c, ax.flatten()):\n", @@ -108,18 +141,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "b4069a34", "metadata": {}, "outputs": [], "source": [ - "from skimage import data\n", "from skimage import filters" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "39bc25c7", "metadata": {}, "outputs": [], @@ -130,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "aa225a15", "metadata": {}, "outputs": [], @@ -146,12 +178,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "d60ecafd", "metadata": { "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(3, 2, figsize=(12, 18))\n", "for a, (im, title) in zip(\n", @@ -216,9 +259,9 @@ ], "metadata": { "kernelspec": { - "display_name": "benv", + "display_name": "Python 3", "language": "python", - "name": "benv" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -230,7 +273,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.9.17" } }, "nbformat": 4, diff --git a/db-course/UUID.ipynb b/db-course/UUID.ipynb index 66ef9ac..257830c 100644 --- a/db-course/UUID.ipynb +++ b/db-course/UUID.ipynb @@ -17,7 +17,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -50,16 +50,16 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "UUID('67cefa94-3949-11ed-b8e5-acde48001122')" + "UUID('f9a46b8c-6d43-11ee-8c98-0242ac120002')" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -70,23 +70,23 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[UUID('95486938-3949-11ed-b8e5-acde48001122'),\n", - " UUID('954869ce-3949-11ed-b8e5-acde48001122'),\n", - " UUID('954869f6-3949-11ed-b8e5-acde48001122'),\n", - " UUID('95486a6e-3949-11ed-b8e5-acde48001122'),\n", - " UUID('95486a8c-3949-11ed-b8e5-acde48001122'),\n", - " UUID('95486aaa-3949-11ed-b8e5-acde48001122'),\n", - " UUID('95486abe-3949-11ed-b8e5-acde48001122'),\n", - " UUID('95486adc-3949-11ed-b8e5-acde48001122')]" + "[UUID('fa69277e-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('fa6928e6-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('fa6929d6-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('fa692ac6-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('fa692b8e-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('fa692c56-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('fa692d1e-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('fa692de6-6d43-11ee-8c98-0242ac120002')]" ] }, - "execution_count": 10, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -98,20 +98,20 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[UUID('a58e34e4-3949-11ed-b8e5-acde48001122'),\n", - " UUID('a58e3570-3949-11ed-b8e5-acde48001122'),\n", - " UUID('a58e35a2-3949-11ed-b8e5-acde48001122'),\n", - " UUID('a58e35c0-3949-11ed-b8e5-acde48001122'),\n", - " UUID('a58e35de-3949-11ed-b8e5-acde48001122')]" + "[UUID('faf96eb0-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('faf96fb4-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('faf97054-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('faf970e0-6d43-11ee-8c98-0242ac120002'),\n", + " UUID('faf97162-6d43-11ee-8c98-0242ac120002')]" ] }, - "execution_count": 11, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -123,20 +123,20 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[UUID('c2712a4e-3949-11ed-8001-000000000003'),\n", - " UUID('c2712af8-3949-11ed-8001-000000000003'),\n", - " UUID('c2712b34-3949-11ed-8001-000000000003'),\n", - " UUID('c2712b5c-3949-11ed-8001-000000000003'),\n", - " UUID('c2712b84-3949-11ed-8001-000000000003')]" + "[UUID('fc601494-6d43-11ee-8001-000000000003'),\n", + " UUID('fc60155a-6d43-11ee-8001-000000000003'),\n", + " UUID('fc6015b2-6d43-11ee-8001-000000000003'),\n", + " UUID('fc6015e3-6d43-11ee-8001-000000000003'),\n", + " UUID('fc60160a-6d43-11ee-8001-000000000003')]" ] }, - "execution_count": 12, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -148,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -172,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -193,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -214,7 +214,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -223,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -232,7 +232,7 @@ "UUID('00000000-0000-0000-0000-000000000000')" ] }, - "execution_count": 17, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -243,7 +243,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -252,7 +252,7 @@ "UUID('913e0174-a390-5c08-b50a-623690546dd5')" ] }, - "execution_count": 18, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -264,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -273,7 +273,7 @@ "UUID('b5804c3f-57b1-54e3-8176-3b45aa443a97')" ] }, - "execution_count": 19, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -285,7 +285,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -298,7 +298,7 @@ " UUID('6340129b-3a59-5354-aec6-5df769ae2ce7'))" ] }, - "execution_count": 20, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -318,7 +318,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -327,7 +327,7 @@ "UUID('3d9d9035-dec3-5fc8-b66c-38cd8537acbe')" ] }, - "execution_count": 21, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -338,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -359,27 +359,27 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[UUID('5d24200a-bb19-4a0f-b22a-ff41edf22ada'),\n", - " UUID('3fec50a4-124d-4666-a30b-58d46be3a774'),\n", - " UUID('f62e4a91-bbd1-4895-ad57-7c0c71a8b105'),\n", - " UUID('c16a14df-555f-4b3a-8907-40c5237c58a2'),\n", - " UUID('8e425bf1-3d5e-4f3e-adbd-c1a7f86fc19d'),\n", - " UUID('66d2183f-1352-420e-817a-ee3a65d60892'),\n", - " UUID('667d7190-54ec-4357-ae77-dc8e365d71c2'),\n", - " UUID('a3281c04-8fb5-4d14-90e9-34deef7888b3'),\n", - " UUID('ff981bdc-bdfb-4dba-986a-978947654baf'),\n", - " UUID('bffb4978-f1bb-4a74-a27d-729bbee1f295'),\n", - " UUID('83a5e51b-68e3-4775-84f9-4784db5f3151'),\n", - " UUID('bb924876-08ec-4b78-ae4a-2656448adfda')]" + "[UUID('e97fb242-f513-491b-b628-cdc10745bed7'),\n", + " UUID('6240cec4-bf4d-434e-b284-53722fd2c9b7'),\n", + " UUID('789fcb88-ea0f-4a1e-a670-914a82ba7e07'),\n", + " UUID('efb07c22-1a94-4b5f-bc6e-7653321176c0'),\n", + " UUID('706203b8-de8b-4802-b83b-d6cf1c8e671f'),\n", + " UUID('660d7e08-2e03-49b8-a4c1-5dd124750c69'),\n", + " UUID('3dd8e385-0c68-4ae5-b5f5-c075b2b3aa5a'),\n", + " UUID('d1cc073e-d1d1-449b-82f9-f57b509dfe7d'),\n", + " UUID('8356b5b5-90d0-489c-8fa9-7e6352a3cca6'),\n", + " UUID('32d015c0-c3b1-4f65-a9c7-57ac1b1e6ca1'),\n", + " UUID('a108f427-5ce6-456e-84f8-e4620ed489db'),\n", + " UUID('b4e58cd8-e0c2-47be-ab5b-d839f27bda1b')]" ] }, - "execution_count": 23, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -397,16 +397,16 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'0.13.7'" + "'0.14.1'" ] }, - "execution_count": 24, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -418,25 +418,25 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[2022-09-20 18:13:24,758][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", - "[2022-09-20 18:13:25,542][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" + "[2023-10-17 23:22:36,428][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-17 23:22:36,446][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] } ], "source": [ - "schema = dj.schema('dimitri_uuid')" + "schema = dj.Schema('uuid')" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -451,16 +451,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "message_id : uuid # internal message id\n", + "---\n", + "message_body : varchar(1000) \n", + "\n" + ] + } + ], "source": [ - "Message.describe();" + "print(Message.describe())" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -469,7 +480,7 @@ "'`message_id` binary(16) NOT NULL COMMENT \":uuid:internal message id\"'" ] }, - "execution_count": 27, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -481,7 +492,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -491,7 +502,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -500,21 +511,23 @@ "\n", " \n", " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

message_body

\n", + " \n", + "
681a997e-6d44-11ee-8c98-0242ac120002Hello, world!
68214b2a-6d44-11ee-8c98-0242ac120002Cogito ergo sum
71a3e82e-6d44-11ee-8c98-0242ac120002I will be back
71aa3580-6d44-11ee-8c98-0242ac120002Must destroy humans.
82f8a010-6d44-11ee-8c98-0242ac120002I will be back
82ffbb84-6d44-11ee-8c98-0242ac120002Must destroy humans.
83f36c84-6d44-11ee-8c98-0242ac120002I will be back
83f890ba-6d44-11ee-8c98-0242ac120002Must destroy humans.
84dd3aa8-6d44-11ee-8c98-0242ac120002I will be back
84e27202-6d44-11ee-8c98-0242ac120002Must destroy humans.
\n", + " \n", + "

Total: 10

\n", + " " + ], + "text/plain": [ + "*message_id message_body \n", + "+------------+ +------------+\n", + "681a997e-6d44- Hello, world! \n", + "68214b2a-6d44- Cogito ergo su\n", + "71a3e82e-6d44- I will be back\n", + "71aa3580-6d44- Must destroy h\n", + "82f8a010-6d44- I will be back\n", + "82ffbb84-6d44- Must destroy h\n", + "83f36c84-6d44- I will be back\n", + "83f890ba-6d44- Must destroy h\n", + "84dd3aa8-6d44- I will be back\n", + "84e27202-6d44- Must destroy h\n", + " (Total: 10)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Message()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -631,16 +784,120 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

message_body

\n", + " \n", + "
553e2582-bc00-4c3e-a316-47c754f0677fHasta la vista baby
681a997e-6d44-11ee-8c98-0242ac120002Hello, world!
68214b2a-6d44-11ee-8c98-0242ac120002Cogito ergo sum
71a3e82e-6d44-11ee-8c98-0242ac120002I will be back
71aa3580-6d44-11ee-8c98-0242ac120002Must destroy humans.
82f8a010-6d44-11ee-8c98-0242ac120002I will be back
82ffbb84-6d44-11ee-8c98-0242ac120002Must destroy humans.
83f36c84-6d44-11ee-8c98-0242ac120002I will be back
83f890ba-6d44-11ee-8c98-0242ac120002Must destroy humans.
84dd3aa8-6d44-11ee-8c98-0242ac120002I will be back
84e27202-6d44-11ee-8c98-0242ac120002Must destroy humans.
\n", + " \n", + "

Total: 11

\n", + " " + ], + "text/plain": [ + "*message_id message_body \n", + "+------------+ +------------+\n", + "553e2582-bc00- Hasta la vista\n", + "681a997e-6d44- Hello, world! \n", + "68214b2a-6d44- Cogito ergo su\n", + "71a3e82e-6d44- I will be back\n", + "71aa3580-6d44- Must destroy h\n", + "82f8a010-6d44- I will be back\n", + "82ffbb84-6d44- Must destroy h\n", + "83f36c84-6d44- I will be back\n", + "83f890ba-6d44- Must destroy h\n", + "84dd3aa8-6d44- I will be back\n", + "84e27202-6d44- Must destroy h\n", + " (Total: 11)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Message()" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -656,17 +913,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CREATE TABLE `comment` (\n", + " `comment_id` binary(16) NOT NULL COMMENT ':uuid:',\n", + " `message_id` binary(16) NOT NULL COMMENT ':uuid:internal message id',\n", + " `comment_body` varchar(1000) NOT NULL,\n", + " PRIMARY KEY (`comment_id`),\n", + " KEY `message_id` (`message_id`),\n", + " CONSTRAINT `comment_ibfk_1` FOREIGN KEY (`message_id`) REFERENCES `message` (`message_id`) ON DELETE RESTRICT ON UPDATE CASCADE\n", + ") ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci\n" + ] + } + ], "source": [ "# For the curious: This is how the table was declared in SQL\n", - "print(schema.connection.query('show create table `dimitri_uuid`.`comment`').fetchall()[0][1])" + "print(schema.connection.query('show create table `uuid`.`comment`').fetchall()[0][1])" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -674,14 +946,12 @@ "image/svg+xml": [ "\n", "\n", - "\n", + "%3\n", + "\n", "\n", "\n", "Message\n", - "\n", + "\n", "\n", "Message\n", "\n", @@ -690,11 +960,7 @@ "\n", "\n", "Comment\n", - "\n", + "\n", "\n", "Comment\n", "\n", @@ -709,10 +975,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 33, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -723,7 +989,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -732,16 +998,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[{'message_id': UUID('553e2582-bc00-4c3e-a316-47c754f0677f')},\n", + " {'message_id': UUID('681a997e-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('68214b2a-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('71a3e82e-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('71aa3580-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('82f8a010-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('82ffbb84-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('83f36c84-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('83f890ba-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('84dd3aa8-6d44-11ee-8c98-0242ac120002')},\n", + " {'message_id': UUID('84e27202-6d44-11ee-8c98-0242ac120002')}]" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "keys" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -750,36 +1037,308 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 44, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

comment_id

\n", + " \n", + "
\n", + "

message_body

\n", + " \n", + "
\n", + "

comment_body

\n", + " \n", + "
553e2582-bc00-4c3e-a316-47c754f0677ff768fb02-6d44-11ee-8c98-0242ac120002Hasta la vista babythank you
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*message_id *comment_id message_body comment_body \n", + "+------------+ +------------+ +------------+ +------------+\n", + "553e2582-bc00- f768fb02-6d44- Hasta la vista thank you \n", + " (Total: 1)" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "Message* Comment" + "Message * Comment" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

comment_id

\n", + " \n", + "
\n", + "

message_body

\n", + " \n", + "
\n", + "

comment_body

\n", + " \n", + "
553e2582-bc00-4c3e-a316-47c754f0677ff768fb02-6d44-11ee-8c98-0242ac120002Hasta la vista babythank you
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*message_id *comment_id message_body comment_body \n", + "+------------+ +------------+ +------------+ +------------+\n", + "553e2582-bc00- f768fb02-6d44- Hasta la vista thank you \n", + " (Total: 1)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Message * Comment & keys[0]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

message_body

\n", + " \n", + "
681a997e-6d44-11ee-8c98-0242ac120002Hello, world!
68214b2a-6d44-11ee-8c98-0242ac120002Cogito ergo sum
71a3e82e-6d44-11ee-8c98-0242ac120002I will be back
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*message_id message_body \n", + "+------------+ +------------+\n", + "681a997e-6d44- Hello, world! \n", + "68214b2a-6d44- Cogito ergo su\n", + "71a3e82e-6d44- I will be back\n", + " (Total: 3)" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Message & keys[1:4]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -788,27 +1347,409 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Comment()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Message & Comment" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

comment_id

\n", + " \n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

comment_body

\n", + " \n", + "
18d4c99c-6d45-11ee-8c98-0242ac120002681a997e-6d44-11ee-8c98-0242ac120002thank you
f768fb02-6d44-11ee-8c98-0242ac120002553e2582-bc00-4c3e-a316-47c754f0677fthank you
\n", + " \n", + "

Total: 2

\n", + " " + ], + "text/plain": [ + "*comment_id message_id comment_body \n", + "+------------+ +------------+ +------------+\n", + "18d4c99c-6d45- 681a997e-6d44- thank you \n", + "f768fb02-6d44- 553e2582-bc00- thank you \n", + " (Total: 2)" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Comment()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
\n", + "

message_id

\n", + " internal message id\n", + "
\n", + "

message_body

\n", + " \n", + "
553e2582-bc00-4c3e-a316-47c754f0677fHasta la vista baby
681a997e-6d44-11ee-8c98-0242ac120002Hello, world!
\n", + " \n", + "

Total: 2

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message_id

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message_body

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68214b2a-6d44-11ee-8c98-0242ac120002Cogito ergo sum
71a3e82e-6d44-11ee-8c98-0242ac120002I will be back
71aa3580-6d44-11ee-8c98-0242ac120002Must destroy humans.
82f8a010-6d44-11ee-8c98-0242ac120002I will be back
82ffbb84-6d44-11ee-8c98-0242ac120002Must destroy humans.
83f36c84-6d44-11ee-8c98-0242ac120002I will be back
83f890ba-6d44-11ee-8c98-0242ac120002Must destroy humans.
84dd3aa8-6d44-11ee-8c98-0242ac120002I will be back
84e27202-6d44-11ee-8c98-0242ac120002Must destroy humans.
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Total: 9

\n", + " " + ], + "text/plain": [ + "*message_id message_body \n", + "+------------+ +------------+\n", + "68214b2a-6d44- Cogito ergo su\n", + "71a3e82e-6d44- I will be back\n", + "71aa3580-6d44- Must destroy h\n", + "82f8a010-6d44- I will be back\n", + "82ffbb84-6d44- Must destroy h\n", + "83f36c84-6d44- I will be back\n", + "83f890ba-6d44- Must destroy h\n", + "84dd3aa8-6d44- I will be back\n", + "84e27202-6d44- Must destroy h\n", + " (Total: 9)" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Message - Comment" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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message_id

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comment_id

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message_body

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comment_body

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681a997e-6d44-11ee-8c98-0242ac12000218d4c99c-6d45-11ee-8c98-0242ac120002Hello, world!thank you
553e2582-bc00-4c3e-a316-47c754f0677ff768fb02-6d44-11ee-8c98-0242ac120002Hasta la vista babythank you
\n", + " \n", + "

Total: 2

\n", + " " + ], + "text/plain": [ + "*message_id *comment_id message_body comment_body \n", + "+------------+ +------------+ +------------+ +------------+\n", + "681a997e-6d44- 18d4c99c-6d45- Hello, world! thank you \n", + "553e2582-bc00- f768fb02-6d44- Hasta la vista thank you \n", + " (Total: 2)" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Message * Comment" ] @@ -837,7 +1778,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.9.17" } }, "nbformat": 4, diff --git a/short_tutorials/JuliaSets.ipynb b/short_tutorials/JuliaSets.ipynb index 5ee5e5f..9788b62 100644 --- a/short_tutorials/JuliaSets.ipynb +++ b/short_tutorials/JuliaSets.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "87bd1a0f", "metadata": {}, "outputs": [], @@ -25,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "3f5a75af", "metadata": {}, "outputs": [], @@ -47,10 +47,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "79556895", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.imshow(julia(-0.4+0.6j), cmap='magma')\n", "plt.axis(False);" @@ -58,10 +69,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "a43baa42", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.imshow(julia(-0.4+0.6j, center=(0.34, -0.30), zoom=10000.0), cmap='magma')\n", "plt.axis(False);" @@ -69,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "3c63ce73", "metadata": {}, "outputs": [], @@ -86,10 +108,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "cfc85940", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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Total: 6

\n", + " " + ], + "text/plain": [ + "*julia_spec image \n", + "+------------+ +--------+\n", + "0 =BLOB= \n", + "1 =BLOB= \n", + "2 =BLOB= \n", + "3 =BLOB= \n", + "4 =BLOB= \n", + "5 =BLOB= \n", + " (Total: 6)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "JuliaImage()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "76a38851", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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julia_spec

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denoise_method

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denoised_image

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00=BLOB=
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20=BLOB=
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31=BLOB=
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...

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Total: 24

\n", + " " + ], + "text/plain": [ + "*julia_spec *denoise_metho denoised_i\n", + "+------------+ +------------+ +--------+\n", + "0 0 =BLOB= \n", + "1 0 =BLOB= \n", + "2 0 =BLOB= \n", + "3 0 =BLOB= \n", + "4 0 =BLOB= \n", + "5 0 =BLOB= \n", + "0 1 =BLOB= \n", + "1 1 =BLOB= \n", + "2 1 =BLOB= \n", + "3 1 =BLOB= \n", + "4 1 =BLOB= \n", + "5 1 =BLOB= \n", + " ...\n", + " (Total: 24)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "JuliaDenoised()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "id": "b4b76369", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "keys = JuliaDenoised.fetch('KEY')\n", - "img = ((JuliaDenoised & keys[0])).fetch1('denoised_image')\n", + "img = ((JuliaDenoised & keys[20])).fetch1('denoised_image')\n", "plt.imshow(img)\n", "plt.axis(False);" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "id": "97601fad", "metadata": {}, "outputs": [], + "source": [ + "@schema\n", + "class Blob(dj.Manual):\n", + " definition = \"\"\"\n", + " id : int\n", + " ---\n", + " blob : longblob\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "02ead2d5", + "metadata": {}, + "outputs": [], + "source": [ + "Blob.insert1(dict(id=1, blob=[1, 2, 3, 'Four']))" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "bbf1b7b5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'id': 1, 'blob': [1, 2, 3, 'Four']}]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Blob.fetch(as_dict=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2be63e8", + "metadata": {}, + "outputs": [], "source": [] } ], From e0a55bd483a4326dd1b3cf1a8932086c253f5318 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 24 Oct 2023 11:35:25 +0000 Subject: [PATCH 20/33] add 006-SampleSales --- db-course/006-SampleSales.ipynb | 7898 +++++++++++++++++++++++++++++++ 1 file changed, 7898 insertions(+) create mode 100644 db-course/006-SampleSales.ipynb diff --git a/db-course/006-SampleSales.ipynb b/db-course/006-SampleSales.ipynb new file mode 100644 index 0000000..422a35a --- /dev/null +++ b/db-course/006-SampleSales.ipynb @@ -0,0 +1,7898 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sql extension is already loaded. To reload it, use:\n", + " %reload_ext sql\n" + ] + } + ], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "9 rows affected.\n", + "1 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "7 rows affected.\n", + "23 rows affected.\n", + "22 rows affected.\n", + "122 rows affected.\n", + "7 rows affected.\n", + "110 rows affected.\n", + "326 rows affected.\n", + "2996 rows affected.\n", + "273 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "/*\n", + "*********************************************************************\n", + "http://www.mysqltutorial.org\n", + "*********************************************************************\n", + "Name: MySQL Sample Database classicmodels\n", + "Link: http://www.mysqltutorial.org/mysql-sample-database.aspx\n", + "Version 3.2 (for datajoint-tutorials)\n", + "+ adapted to DataJoint conventions\n", + "Version 3.1\n", + "+ changed data type from DOUBLE to DECIMAL for amount columns\n", + "Version 3.0\n", + "+ changed DATETIME to DATE for some colunmns\n", + "Version 2.0\n", + "+ changed table type from MyISAM to InnoDB\n", + "+ added foreign keys for all tables \n", + "*********************************************************************\n", + "*/\n", + "\n", + "\n", + "/*!40101 SET NAMES utf8 */;\n", + "/*!40101 SET SQL_MODE=''*/;\n", + "/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;\n", + "/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;\n", + "\n", + "DROP DATABASE IF EXISTS `classicsales`;\n", + "CREATE DATABASE `classicsales` DEFAULT CHARACTER SET latin1;\n", + "\n", + "USE `classicsales`;\n", + "\n", + "\n", + "\n", + "\n", + "CREATE TABLE `offices` (\n", + " `officeCode` varchar(10) NOT NULL,\n", + " `city` varchar(50) NOT NULL,\n", + " `phone` varchar(50) NOT NULL,\n", + " `addressLine1` varchar(50) NOT NULL,\n", + " `addressLine2` varchar(50) DEFAULT NULL,\n", + " `state` varchar(50) DEFAULT NULL,\n", + " `country` varchar(50) NOT NULL,\n", + " `postalCode` varchar(15) NOT NULL,\n", + " `territory` varchar(10) NOT NULL,\n", + " PRIMARY KEY (`officeCode`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "CREATE TABLE `productlines` (\n", + " `productLine` varchar(50) NOT NULL,\n", + " `textDescription` varchar(4000) DEFAULT NULL,\n", + " `htmlDescription` mediumtext,\n", + " `image` mediumblob,\n", + " PRIMARY KEY (`productLine`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "CREATE TABLE `employees` (\n", + " `employeeNumber` int(11) NOT NULL,\n", + " `lastName` varchar(50) NOT NULL,\n", + " `firstName` varchar(50) NOT NULL,\n", + " `extension` varchar(10) NOT NULL,\n", + " `email` varchar(100) NOT NULL,\n", + " `officeCode` varchar(10) NOT NULL,\n", + " `jobTitle` varchar(50) NOT NULL,\n", + " PRIMARY KEY (`employeeNumber`),\n", + " CONSTRAINT `employees_ibfk_2` FOREIGN KEY (`officeCode`) REFERENCES `offices` (`officeCode`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "CREATE TABLE `report` (\n", + " `employeeNumber` int(11) NOT NULL,\n", + " `reportsTo` int(11) NOT NULL,\n", + " PRIMARY KEY (`employeeNumber`),\n", + " FOREIGN KEY (`reportsTo`) REFERENCES `employees` (`employeeNumber`)\n", + ");\n", + "\n", + "\n", + "CREATE TABLE `customers` (\n", + " `customerNumber` int(11) NOT NULL,\n", + " `customerName` varchar(50) NOT NULL,\n", + " `contactLastName` varchar(50) NOT NULL,\n", + " `contactFirstName` varchar(50) NOT NULL,\n", + " `phone` varchar(50) NOT NULL,\n", + " `addressLine1` varchar(50) NOT NULL,\n", + " `addressLine2` varchar(50) DEFAULT NULL,\n", + " `city` varchar(50) NOT NULL,\n", + " `state` varchar(50) DEFAULT NULL,\n", + " `postalCode` varchar(15) DEFAULT NULL,\n", + " `country` varchar(50) NOT NULL,\n", + " `salesRepEmployeeNumber` int(11) DEFAULT NULL,\n", + " `creditLimit` decimal(10,2) DEFAULT NULL,\n", + " PRIMARY KEY (`customerNumber`),\n", + " FOREIGN KEY (`salesRepEmployeeNumber`) REFERENCES `employees` (`employeeNumber`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "CREATE TABLE `products` (\n", + " `productCode` varchar(15) NOT NULL,\n", + " `productName` varchar(70) NOT NULL,\n", + " `productLine` varchar(50) NOT NULL,\n", + " `productScale` varchar(10) NOT NULL,\n", + " `productVendor` varchar(50) NOT NULL,\n", + " `productDescription` text NOT NULL,\n", + " `quantityInStock` smallint(6) NOT NULL,\n", + " `buyPrice` decimal(10,2) NOT NULL,\n", + " `MSRP` decimal(10,2) NOT NULL,\n", + " PRIMARY KEY (`productCode`),\n", + " FOREIGN KEY (`productLine`) REFERENCES `productlines` (`productLine`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "CREATE TABLE `orders` (\n", + " `orderNumber` int(11) NOT NULL,\n", + " `orderDate` date NOT NULL,\n", + " `requiredDate` date NOT NULL,\n", + " `shippedDate` date DEFAULT NULL,\n", + " `status` varchar(15) NOT NULL,\n", + " `comments` text,\n", + " `customerNumber` int(11) NOT NULL,\n", + " PRIMARY KEY (`orderNumber`),\n", + " FOREIGN KEY (`customerNumber`) REFERENCES `customers` (`customerNumber`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "CREATE TABLE `orderdetails` (\n", + " `orderNumber` int(11) NOT NULL,\n", + " `productCode` varchar(15) NOT NULL,\n", + " `quantityOrdered` int(11) NOT NULL,\n", + " `priceEach` decimal(10,2) NOT NULL,\n", + " `orderLineNumber` smallint(6) NOT NULL,\n", + " PRIMARY KEY (`orderNumber`,`productCode`),\n", + " FOREIGN KEY (`orderNumber`) REFERENCES `orders` (`orderNumber`),\n", + " FOREIGN KEY (`productCode`) REFERENCES `products` (`productCode`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "CREATE TABLE `payments` (\n", + " `customerNumber` int(11) NOT NULL,\n", + " `checkNumber` varchar(50) NOT NULL,\n", + " `paymentDate` date NOT NULL,\n", + " `amount` decimal(10,2) NOT NULL,\n", + " PRIMARY KEY (`customerNumber`, `checkNumber`),\n", + " FOREIGN KEY (`customerNumber`) REFERENCES `customers` (`customerNumber`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", + "\n", + "\n", + "\n", + "/*Data for the table `offices` */\n", + "insert into `offices`(`officeCode`,`city`,`phone`,`addressLine1`,`addressLine2`,`state`,`country`,`postalCode`,`territory`) values \n", + "('1','San Francisco','+1 650 219 4782','100 Market Street','Suite 300','CA','USA','94080','NA'),\n", + "('2','Boston','+1 215 837 0825','1550 Court Place','Suite 102','MA','USA','02107','NA'),\n", + "('3','NYC','+1 212 555 3000','523 East 53rd Street','apt. 5A','NY','USA','10022','NA'),\n", + "('4','Paris','+33 14 723 4404','43 Rue Jouffroy D\\'abbans',NULL,NULL,'France','75017','EMEA'),\n", + "('5','Tokyo','+81 33 224 5000','4-1 Kioicho',NULL,'Chiyoda-Ku','Japan','102-8578','Japan'),\n", + "('6','Sydney','+61 2 9264 2451','5-11 Wentworth Avenue','Floor #2',NULL,'Australia','NSW 2010','APAC'),\n", + "('7','London','+44 20 7877 2041','25 Old Broad Street','Level 7',NULL,'UK','EC2N 1HN','EMEA');\n", + "\n", + "\n", + "\n", + "/*Data for the table `employees` */\n", + "insert into `employees`(`employeeNumber`,`lastName`,`firstName`,`extension`,`email`,`officeCode`,`jobTitle`) values \n", + "(1002,'Murphy','Diane','x5800','dmurphy@classicmodelcars.com','1','President'),\n", + "(1056,'Patterson','Mary','x4611','mpatterso@classicmodelcars.com','1','VP Sales'),\n", + "(1076,'Firrelli','Jeff','x9273','jfirrelli@classicmodelcars.com','1','VP Marketing'),\n", + "(1088,'Patterson','William','x4871','wpatterson@classicmodelcars.com','6','Sales Manager (APAC)'),\n", + "(1102,'Bondur','Gerard','x5408','gbondur@classicmodelcars.com','4','Sale Manager (EMEA)'),\n", + "(1143,'Bow','Anthony','x5428','abow@classicmodelcars.com','1','Sales Manager (NA)'),\n", + "(1165,'Jennings','Leslie','x3291','ljennings@classicmodelcars.com','1','Sales Rep'),\n", + "(1166,'Thompson','Leslie','x4065','lthompson@classicmodelcars.com','1','Sales Rep'),\n", + "(1188,'Firrelli','Julie','x2173','jfirrelli@classicmodelcars.com','2','Sales Rep'),\n", + "(1216,'Patterson','Steve','x4334','spatterson@classicmodelcars.com','2','Sales Rep'),\n", + "(1286,'Tseng','Foon Yue','x2248','ftseng@classicmodelcars.com','3','Sales Rep'),\n", + "(1323,'Vanauf','George','x4102','gvanauf@classicmodelcars.com','3','Sales Rep'),\n", + "(1337,'Bondur','Loui','x6493','lbondur@classicmodelcars.com','4','Sales Rep'),\n", + "(1370,'Hernandez','Gerard','x2028','ghernande@classicmodelcars.com','4','Sales Rep'),\n", + "(1401,'Castillo','Pamela','x2759','pcastillo@classicmodelcars.com','4','Sales Rep'),\n", + "(1501,'Bott','Larry','x2311','lbott@classicmodelcars.com','7','Sales Rep'),\n", + "(1504,'Jones','Barry','x102','bjones@classicmodelcars.com','7','Sales Rep'),\n", + "(1611,'Fixter','Andy','x101','afixter@classicmodelcars.com','6','Sales Rep'),\n", + "(1612,'Marsh','Peter','x102','pmarsh@classicmodelcars.com','6','Sales Rep'),\n", + "(1619,'King','Tom','x103','tking@classicmodelcars.com','6','Sales Rep'),\n", + "(1621,'Nishi','Mami','x101','mnishi@classicmodelcars.com','5','Sales Rep'),\n", + "(1625,'Kato','Yoshimi','x102','ykato@classicmodelcars.com','5','Sales Rep'),\n", + "(1702,'Gerard','Martin','x2312','mgerard@classicmodelcars.com','4','Sales Rep');\n", + "\n", + "insert into `report`(`employeeNumber`,`reportsTo`) values \n", + "(1056, 1002),\n", + "(1076, 1002),\n", + "(1088, 1056),\n", + "(1102, 1056),\n", + "(1143, 1056),\n", + "(1165, 1143),\n", + "(1166, 1143),\n", + "(1188, 1143),\n", + "(1216, 1143),\n", + "(1286, 1143),\n", + "(1323, 1143),\n", + "(1337, 1102),\n", + "(1370, 1102),\n", + "(1401, 1102),\n", + "(1501, 1102),\n", + "(1504, 1102),\n", + "(1611, 1088),\n", + "(1612, 1088),\n", + "(1619, 1088),\n", + "(1621, 1056),\n", + "(1625, 1621),\n", + "(1702, 1102);\n", + "\n", + "\n", + "/*Data for the table `customers` */\n", + "insert into `customers`(`customerNumber`,`customerName`,`contactLastName`,`contactFirstName`,`phone`,`addressLine1`,`addressLine2`,`city`,`state`,`postalCode`,`country`,`salesRepEmployeeNumber`,`creditLimit`) values \n", + "(103,'Atelier graphique','Schmitt','Carine ','40.32.2555','54, rue Royale',NULL,'Nantes',NULL,'44000','France',1370,'21000.00'),\n", + "(112,'Signal Gift Stores','King','Jean','7025551838','8489 Strong St.',NULL,'Las Vegas','NV','83030','USA',1166,'71800.00'),\n", + "(114,'Australian Collectors, Co.','Ferguson','Peter','03 9520 4555','636 St Kilda Road','Level 3','Melbourne','Victoria','3004','Australia',1611,'117300.00'),\n", + "(119,'La Rochelle Gifts','Labrune','Janine ','40.67.8555','67, rue des Cinquante Otages',NULL,'Nantes',NULL,'44000','France',1370,'118200.00'),\n", + "(121,'Baane Mini Imports','Bergulfsen','Jonas ','07-98 9555','Erling Skakkes gate 78',NULL,'Stavern',NULL,'4110','Norway',1504,'81700.00'),\n", + "(124,'Mini Gifts Distributors Ltd.','Nelson','Susan','4155551450','5677 Strong St.',NULL,'San Rafael','CA','97562','USA',1165,'210500.00'),\n", + "(125,'Havel & Zbyszek Co','Piestrzeniewicz','Zbyszek ','(26) 642-7555','ul. Filtrowa 68',NULL,'Warszawa',NULL,'01-012','Poland',NULL,'0.00'),\n", + "(128,'Blauer See Auto, Co.','Keitel','Roland','+49 69 66 90 2555','Lyonerstr. 34',NULL,'Frankfurt',NULL,'60528','Germany',1504,'59700.00'),\n", + "(129,'Mini Wheels Co.','Murphy','Julie','6505555787','5557 North Pendale Street',NULL,'San Francisco','CA','94217','USA',1165,'64600.00'),\n", + "(131,'Land of Toys Inc.','Lee','Kwai','2125557818','897 Long Airport Avenue',NULL,'NYC','NY','10022','USA',1323,'114900.00'),\n", + "(141,'Euro+ Shopping Channel','Freyre','Diego ','(91) 555 94 44','C/ Moralzarzal, 86',NULL,'Madrid',NULL,'28034','Spain',1370,'227600.00'),\n", + "(144,'Volvo Model Replicas, Co','Berglund','Christina ','0921-12 3555','Berguvsvägen 8',NULL,'Luleå',NULL,'S-958 22','Sweden',1504,'53100.00'),\n", + "(145,'Danish Wholesale Imports','Petersen','Jytte ','31 12 3555','Vinbæltet 34',NULL,'Kobenhavn',NULL,'1734','Denmark',1401,'83400.00'),\n", + "(146,'Saveley & Henriot, Co.','Saveley','Mary ','78.32.5555','2, rue du Commerce',NULL,'Lyon',NULL,'69004','France',1337,'123900.00'),\n", + "(148,'Dragon Souveniers, Ltd.','Natividad','Eric','+65 221 7555','Bronz Sok.','Bronz Apt. 3/6 Tesvikiye','Singapore',NULL,'079903','Singapore',1621,'103800.00'),\n", + "(151,'Muscle Machine Inc','Young','Jeff','2125557413','4092 Furth Circle','Suite 400','NYC','NY','10022','USA',1286,'138500.00'),\n", + "(157,'Diecast Classics Inc.','Leong','Kelvin','2155551555','7586 Pompton St.',NULL,'Allentown','PA','70267','USA',1216,'100600.00'),\n", + "(161,'Technics Stores Inc.','Hashimoto','Juri','6505556809','9408 Furth Circle',NULL,'Burlingame','CA','94217','USA',1165,'84600.00'),\n", + "(166,'Handji Gifts& Co','Victorino','Wendy','+65 224 1555','106 Linden Road Sandown','2nd Floor','Singapore',NULL,'069045','Singapore',1612,'97900.00'),\n", + "(167,'Herkku Gifts','Oeztan','Veysel','+47 2267 3215','Brehmen St. 121','PR 334 Sentrum','Bergen',NULL,'N 5804','Norway ',1504,'96800.00'),\n", + "(168,'American Souvenirs Inc','Franco','Keith','2035557845','149 Spinnaker Dr.','Suite 101','New Haven','CT','97823','USA',1286,'0.00'),\n", + "(169,'Porto Imports Co.','de Castro','Isabel ','(1) 356-5555','Estrada da saúde n. 58',NULL,'Lisboa',NULL,'1756','Portugal',NULL,'0.00'),\n", + "(171,'Daedalus Designs Imports','Rancé','Martine ','20.16.1555','184, chaussée de Tournai',NULL,'Lille',NULL,'59000','France',1370,'82900.00'),\n", + "(172,'La Corne D\\'abondance, Co.','Bertrand','Marie','(1) 42.34.2555','265, boulevard Charonne',NULL,'Paris',NULL,'75012','France',1337,'84300.00'),\n", + "(173,'Cambridge Collectables Co.','Tseng','Jerry','6175555555','4658 Baden Av.',NULL,'Cambridge','MA','51247','USA',1188,'43400.00'),\n", + "(175,'Gift Depot Inc.','King','Julie','2035552570','25593 South Bay Ln.',NULL,'Bridgewater','CT','97562','USA',1323,'84300.00'),\n", + "(177,'Osaka Souveniers Co.','Kentary','Mory','+81 06 6342 5555','1-6-20 Dojima',NULL,'Kita-ku','Osaka',' 530-0003','Japan',1621,'81200.00'),\n", + "(181,'Vitachrome Inc.','Frick','Michael','2125551500','2678 Kingston Rd.','Suite 101','NYC','NY','10022','USA',1286,'76400.00'),\n", + "(186,'Toys of Finland, Co.','Karttunen','Matti','90-224 8555','Keskuskatu 45',NULL,'Helsinki',NULL,'21240','Finland',1501,'96500.00'),\n", + "(187,'AV Stores, Co.','Ashworth','Rachel','(171) 555-1555','Fauntleroy Circus',NULL,'Manchester',NULL,'EC2 5NT','UK',1501,'136800.00'),\n", + "(189,'Clover Collections, Co.','Cassidy','Dean','+353 1862 1555','25 Maiden Lane','Floor No. 4','Dublin',NULL,'2','Ireland',1504,'69400.00'),\n", + "(198,'Auto-Moto Classics Inc.','Taylor','Leslie','6175558428','16780 Pompton St.',NULL,'Brickhaven','MA','58339','USA',1216,'23000.00'),\n", + "(201,'UK Collectables, Ltd.','Devon','Elizabeth','(171) 555-2282','12, Berkeley Gardens Blvd',NULL,'Liverpool',NULL,'WX1 6LT','UK',1501,'92700.00'),\n", + "(202,'Canadian Gift Exchange Network','Tamuri','Yoshi ','(604) 555-3392','1900 Oak St.',NULL,'Vancouver','BC','V3F 2K1','Canada',1323,'90300.00'),\n", + "(204,'Online Mini Collectables','Barajas','Miguel','6175557555','7635 Spinnaker Dr.',NULL,'Brickhaven','MA','58339','USA',1188,'68700.00'),\n", + "(205,'Toys4GrownUps.com','Young','Julie','6265557265','78934 Hillside Dr.',NULL,'Pasadena','CA','90003','USA',1166,'90700.00'),\n", + "(206,'Asian Shopping Network, Co','Walker','Brydey','+612 9411 1555','Suntec Tower Three','8 Temasek','Singapore',NULL,'038988','Singapore',NULL,'0.00'),\n", + "(209,'Mini Caravy','Citeaux','Frédérique ','88.60.1555','24, place Kléber',NULL,'Strasbourg',NULL,'67000','France',1370,'53800.00'),\n", + "(211,'King Kong Collectables, Co.','Gao','Mike','+852 2251 1555','Bank of China Tower','1 Garden Road','Central Hong Kong',NULL,NULL,'Hong Kong',1621,'58600.00'),\n", + "(216,'Enaco Distributors','Saavedra','Eduardo ','(93) 203 4555','Rambla de Cataluña, 23',NULL,'Barcelona',NULL,'08022','Spain',1702,'60300.00'),\n", + "(219,'Boards & Toys Co.','Young','Mary','3105552373','4097 Douglas Av.',NULL,'Glendale','CA','92561','USA',1166,'11000.00'),\n", + "(223,'Natürlich Autos','Kloss','Horst ','0372-555188','Taucherstraße 10',NULL,'Cunewalde',NULL,'01307','Germany',NULL,'0.00'),\n", + "(227,'Heintze Collectables','Ibsen','Palle','86 21 3555','Smagsloget 45',NULL,'Århus',NULL,'8200','Denmark',1401,'120800.00'),\n", + "(233,'Québec Home Shopping Network','Fresnière','Jean ','(514) 555-8054','43 rue St. Laurent',NULL,'Montréal','Québec','H1J 1C3','Canada',1286,'48700.00'),\n", + "(237,'ANG Resellers','Camino','Alejandra ','(91) 745 6555','Gran Vía, 1',NULL,'Madrid',NULL,'28001','Spain',NULL,'0.00'),\n", + "(239,'Collectable Mini Designs Co.','Thompson','Valarie','7605558146','361 Furth Circle',NULL,'San Diego','CA','91217','USA',1166,'105000.00'),\n", + "(240,'giftsbymail.co.uk','Bennett','Helen ','(198) 555-8888','Garden House','Crowther Way 23','Cowes','Isle of Wight','PO31 7PJ','UK',1501,'93900.00'),\n", + "(242,'Alpha Cognac','Roulet','Annette ','61.77.6555','1 rue Alsace-Lorraine',NULL,'Toulouse',NULL,'31000','France',1370,'61100.00'),\n", + "(247,'Messner Shopping Network','Messner','Renate ','069-0555984','Magazinweg 7',NULL,'Frankfurt',NULL,'60528','Germany',NULL,'0.00'),\n", + "(249,'Amica Models & Co.','Accorti','Paolo ','011-4988555','Via Monte Bianco 34',NULL,'Torino',NULL,'10100','Italy',1401,'113000.00'),\n", + "(250,'Lyon Souveniers','Da Silva','Daniel','+33 1 46 62 7555','27 rue du Colonel Pierre Avia',NULL,'Paris',NULL,'75508','France',1337,'68100.00'),\n", + "(256,'Auto Associés & Cie.','Tonini','Daniel ','30.59.8555','67, avenue de l\\'Europe',NULL,'Versailles',NULL,'78000','France',1370,'77900.00'),\n", + "(259,'Toms Spezialitäten, Ltd','Pfalzheim','Henriette ','0221-5554327','Mehrheimerstr. 369',NULL,'Köln',NULL,'50739','Germany',1504,'120400.00'),\n", + "(260,'Royal Canadian Collectables, Ltd.','Lincoln','Elizabeth ','(604) 555-4555','23 Tsawassen Blvd.',NULL,'Tsawassen','BC','T2F 8M4','Canada',1323,'89600.00'),\n", + "(273,'Franken Gifts, Co','Franken','Peter ','089-0877555','Berliner Platz 43',NULL,'München',NULL,'80805','Germany',NULL,'0.00'),\n", + "(276,'Anna\\'s Decorations, Ltd','O\\'Hara','Anna','02 9936 8555','201 Miller Street','Level 15','North Sydney','NSW','2060','Australia',1611,'107800.00'),\n", + "(278,'Rovelli Gifts','Rovelli','Giovanni ','035-640555','Via Ludovico il Moro 22',NULL,'Bergamo',NULL,'24100','Italy',1401,'119600.00'),\n", + "(282,'Souveniers And Things Co.','Huxley','Adrian','+61 2 9495 8555','Monitor Money Building','815 Pacific Hwy','Chatswood','NSW','2067','Australia',1611,'93300.00'),\n", + "(286,'Marta\\'s Replicas Co.','Hernandez','Marta','6175558555','39323 Spinnaker Dr.',NULL,'Cambridge','MA','51247','USA',1216,'123700.00'),\n", + "(293,'BG&E Collectables','Harrison','Ed','+41 26 425 50 01','Rte des Arsenaux 41 ',NULL,'Fribourg',NULL,'1700','Switzerland',NULL,'0.00'),\n", + "(298,'Vida Sport, Ltd','Holz','Mihael','0897-034555','Grenzacherweg 237',NULL,'Genève',NULL,'1203','Switzerland',1702,'141300.00'),\n", + "(299,'Norway Gifts By Mail, Co.','Klaeboe','Jan','+47 2212 1555','Drammensveien 126A','PB 211 Sentrum','Oslo',NULL,'N 0106','Norway ',1504,'95100.00'),\n", + "(303,'Schuyler Imports','Schuyler','Bradley','+31 20 491 9555','Kingsfordweg 151',NULL,'Amsterdam',NULL,'1043 GR','Netherlands',NULL,'0.00'),\n", + "(307,'Der Hund Imports','Andersen','Mel','030-0074555','Obere Str. 57',NULL,'Berlin',NULL,'12209','Germany',NULL,'0.00'),\n", + "(311,'Oulu Toy Supplies, Inc.','Koskitalo','Pirkko','981-443655','Torikatu 38',NULL,'Oulu',NULL,'90110','Finland',1501,'90500.00'),\n", + "(314,'Petit Auto','Dewey','Catherine ','(02) 5554 67','Rue Joseph-Bens 532',NULL,'Bruxelles',NULL,'B-1180','Belgium',1401,'79900.00'),\n", + "(319,'Mini Classics','Frick','Steve','9145554562','3758 North Pendale Street',NULL,'White Plains','NY','24067','USA',1323,'102700.00'),\n", + "(320,'Mini Creations Ltd.','Huang','Wing','5085559555','4575 Hillside Dr.',NULL,'New Bedford','MA','50553','USA',1188,'94500.00'),\n", + "(321,'Corporate Gift Ideas Co.','Brown','Julie','6505551386','7734 Strong St.',NULL,'San Francisco','CA','94217','USA',1165,'105000.00'),\n", + "(323,'Down Under Souveniers, Inc','Graham','Mike','+64 9 312 5555','162-164 Grafton Road','Level 2','Auckland ',NULL,NULL,'New Zealand',1612,'88000.00'),\n", + "(324,'Stylish Desk Decors, Co.','Brown','Ann ','(171) 555-0297','35 King George',NULL,'London',NULL,'WX3 6FW','UK',1501,'77000.00'),\n", + "(328,'Tekni Collectables Inc.','Brown','William','2015559350','7476 Moss Rd.',NULL,'Newark','NJ','94019','USA',1323,'43000.00'),\n", + "(333,'Australian Gift Network, Co','Calaghan','Ben','61-7-3844-6555','31 Duncan St. West End',NULL,'South Brisbane','Queensland','4101','Australia',1611,'51600.00'),\n", + "(334,'Suominen Souveniers','Suominen','Kalle','+358 9 8045 555','Software Engineering Center','SEC Oy','Espoo',NULL,'FIN-02271','Finland',1501,'98800.00'),\n", + "(335,'Cramer Spezialitäten, Ltd','Cramer','Philip ','0555-09555','Maubelstr. 90',NULL,'Brandenburg',NULL,'14776','Germany',NULL,'0.00'),\n", + "(339,'Classic Gift Ideas, Inc','Cervantes','Francisca','2155554695','782 First Street',NULL,'Philadelphia','PA','71270','USA',1188,'81100.00'),\n", + "(344,'CAF Imports','Fernandez','Jesus','+34 913 728 555','Merchants House','27-30 Merchant\\'s Quay','Madrid',NULL,'28023','Spain',1702,'59600.00'),\n", + "(347,'Men \\'R\\' US Retailers, Ltd.','Chandler','Brian','2155554369','6047 Douglas Av.',NULL,'Los Angeles','CA','91003','USA',1166,'57700.00'),\n", + "(348,'Asian Treasures, Inc.','McKenna','Patricia ','2967 555','8 Johnstown Road',NULL,'Cork','Co. Cork',NULL,'Ireland',NULL,'0.00'),\n", + "(350,'Marseille Mini Autos','Lebihan','Laurence ','91.24.4555','12, rue des Bouchers',NULL,'Marseille',NULL,'13008','France',1337,'65000.00'),\n", + "(353,'Reims Collectables','Henriot','Paul ','26.47.1555','59 rue de l\\'Abbaye',NULL,'Reims',NULL,'51100','France',1337,'81100.00'),\n", + "(356,'SAR Distributors, Co','Kuger','Armand','+27 21 550 3555','1250 Pretorius Street',NULL,'Hatfield','Pretoria','0028','South Africa',NULL,'0.00'),\n", + "(357,'GiftsForHim.com','MacKinlay','Wales','64-9-3763555','199 Great North Road',NULL,'Auckland',NULL,NULL,'New Zealand',1612,'77700.00'),\n", + "(361,'Kommission Auto','Josephs','Karin','0251-555259','Luisenstr. 48',NULL,'Münster',NULL,'44087','Germany',NULL,'0.00'),\n", + "(362,'Gifts4AllAges.com','Yoshido','Juri','6175559555','8616 Spinnaker Dr.',NULL,'Boston','MA','51003','USA',1216,'41900.00'),\n", + "(363,'Online Diecast Creations Co.','Young','Dorothy','6035558647','2304 Long Airport Avenue',NULL,'Nashua','NH','62005','USA',1216,'114200.00'),\n", + "(369,'Lisboa Souveniers, Inc','Rodriguez','Lino ','(1) 354-2555','Jardim das rosas n. 32',NULL,'Lisboa',NULL,'1675','Portugal',NULL,'0.00'),\n", + "(376,'Precious Collectables','Urs','Braun','0452-076555','Hauptstr. 29',NULL,'Bern',NULL,'3012','Switzerland',1702,'0.00'),\n", + "(379,'Collectables For Less Inc.','Nelson','Allen','6175558555','7825 Douglas Av.',NULL,'Brickhaven','MA','58339','USA',1188,'70700.00'),\n", + "(381,'Royale Belge','Cartrain','Pascale ','(071) 23 67 2555','Boulevard Tirou, 255',NULL,'Charleroi',NULL,'B-6000','Belgium',1401,'23500.00'),\n", + "(382,'Salzburg Collectables','Pipps','Georg ','6562-9555','Geislweg 14',NULL,'Salzburg',NULL,'5020','Austria',1401,'71700.00'),\n", + "(385,'Cruz & Sons Co.','Cruz','Arnold','+63 2 555 3587','15 McCallum Street','NatWest Center #13-03','Makati City',NULL,'1227 MM','Philippines',1621,'81500.00'),\n", + "(386,'L\\'ordine Souveniers','Moroni','Maurizio ','0522-556555','Strada Provinciale 124',NULL,'Reggio Emilia',NULL,'42100','Italy',1401,'121400.00'),\n", + "(398,'Tokyo Collectables, Ltd','Shimamura','Akiko','+81 3 3584 0555','2-2-8 Roppongi',NULL,'Minato-ku','Tokyo','106-0032','Japan',1621,'94400.00'),\n", + "(406,'Auto Canal+ Petit','Perrier','Dominique','(1) 47.55.6555','25, rue Lauriston',NULL,'Paris',NULL,'75016','France',1337,'95000.00'),\n", + "(409,'Stuttgart Collectable Exchange','Müller','Rita ','0711-555361','Adenauerallee 900',NULL,'Stuttgart',NULL,'70563','Germany',NULL,'0.00'),\n", + "(412,'Extreme Desk Decorations, Ltd','McRoy','Sarah','04 499 9555','101 Lambton Quay','Level 11','Wellington',NULL,NULL,'New Zealand',1612,'86800.00'),\n", + "(415,'Bavarian Collectables Imports, Co.','Donnermeyer','Michael',' +49 89 61 08 9555','Hansastr. 15',NULL,'Munich',NULL,'80686','Germany',1504,'77000.00'),\n", + "(424,'Classic Legends Inc.','Hernandez','Maria','2125558493','5905 Pompton St.','Suite 750','NYC','NY','10022','USA',1286,'67500.00'),\n", + "(443,'Feuer Online Stores, Inc','Feuer','Alexander ','0342-555176','Heerstr. 22',NULL,'Leipzig',NULL,'04179','Germany',NULL,'0.00'),\n", + "(447,'Gift Ideas Corp.','Lewis','Dan','2035554407','2440 Pompton St.',NULL,'Glendale','CT','97561','USA',1323,'49700.00'),\n", + "(448,'Scandinavian Gift Ideas','Larsson','Martha','0695-34 6555','Åkergatan 24',NULL,'Bräcke',NULL,'S-844 67','Sweden',1504,'116400.00'),\n", + "(450,'The Sharp Gifts Warehouse','Frick','Sue','4085553659','3086 Ingle Ln.',NULL,'San Jose','CA','94217','USA',1165,'77600.00'),\n", + "(452,'Mini Auto Werke','Mendel','Roland ','7675-3555','Kirchgasse 6',NULL,'Graz',NULL,'8010','Austria',1401,'45300.00'),\n", + "(455,'Super Scale Inc.','Murphy','Leslie','2035559545','567 North Pendale Street',NULL,'New Haven','CT','97823','USA',1286,'95400.00'),\n", + "(456,'Microscale Inc.','Choi','Yu','2125551957','5290 North Pendale Street','Suite 200','NYC','NY','10022','USA',1286,'39800.00'),\n", + "(458,'Corrida Auto Replicas, Ltd','Sommer','Martín ','(91) 555 22 82','C/ Araquil, 67',NULL,'Madrid',NULL,'28023','Spain',1702,'104600.00'),\n", + "(459,'Warburg Exchange','Ottlieb','Sven ','0241-039123','Walserweg 21',NULL,'Aachen',NULL,'52066','Germany',NULL,'0.00'),\n", + "(462,'FunGiftIdeas.com','Benitez','Violeta','5085552555','1785 First Street',NULL,'New Bedford','MA','50553','USA',1216,'85800.00'),\n", + "(465,'Anton Designs, Ltd.','Anton','Carmen','+34 913 728555','c/ Gobelas, 19-1 Urb. La Florida',NULL,'Madrid',NULL,'28023','Spain',NULL,'0.00'),\n", + "(471,'Australian Collectables, Ltd','Clenahan','Sean','61-9-3844-6555','7 Allen Street',NULL,'Glen Waverly','Victoria','3150','Australia',1611,'60300.00'),\n", + "(473,'Frau da Collezione','Ricotti','Franco','+39 022515555','20093 Cologno Monzese','Alessandro Volta 16','Milan',NULL,NULL,'Italy',1401,'34800.00'),\n", + "(475,'West Coast Collectables Co.','Thompson','Steve','3105553722','3675 Furth Circle',NULL,'Burbank','CA','94019','USA',1166,'55400.00'),\n", + "(477,'Mit Vergnügen & Co.','Moos','Hanna ','0621-08555','Forsterstr. 57',NULL,'Mannheim',NULL,'68306','Germany',NULL,'0.00'),\n", + "(480,'Kremlin Collectables, Co.','Semenov','Alexander ','+7 812 293 0521','2 Pobedy Square',NULL,'Saint Petersburg',NULL,'196143','Russia',NULL,'0.00'),\n", + "(481,'Raanan Stores, Inc','Altagar,G M','Raanan','+ 972 9 959 8555','3 Hagalim Blv.',NULL,'Herzlia',NULL,'47625','Israel',NULL,'0.00'),\n", + "(484,'Iberia Gift Imports, Corp.','Roel','José Pedro ','(95) 555 82 82','C/ Romero, 33',NULL,'Sevilla',NULL,'41101','Spain',1702,'65700.00'),\n", + "(486,'Motor Mint Distributors Inc.','Salazar','Rosa','2155559857','11328 Douglas Av.',NULL,'Philadelphia','PA','71270','USA',1323,'72600.00'),\n", + "(487,'Signal Collectibles Ltd.','Taylor','Sue','4155554312','2793 Furth Circle',NULL,'Brisbane','CA','94217','USA',1165,'60300.00'),\n", + "(489,'Double Decker Gift Stores, Ltd','Smith','Thomas ','(171) 555-7555','120 Hanover Sq.',NULL,'London',NULL,'WA1 1DP','UK',1501,'43300.00'),\n", + "(495,'Diecast Collectables','Franco','Valarie','6175552555','6251 Ingle Ln.',NULL,'Boston','MA','51003','USA',1188,'85100.00'),\n", + "(496,'Kelly\\'s Gift Shop','Snowden','Tony','+64 9 5555500','Arenales 1938 3\\'A\\'',NULL,'Auckland ',NULL,NULL,'New Zealand',1612,'110000.00');\n", + "\n", + "\n", + "/*Data for the table `productlines` */\n", + "\n", + "insert into `productlines`(`productLine`,`textDescription`,`htmlDescription`,`image`) values \n", + "\n", + "('Classic Cars','Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb attention to detail and craftsmanship and offer features such as working steering system, opening forward compartment, opening rear trunk with removable spare wheel, 4-wheel independent spring suspension, and so on. The models range in size from 1:10 to 1:24 scale and include numerous limited edition and several out-of-production vehicles. All models include a certificate of authenticity from their manufacturers and come fully assembled and ready for display in the home or office.',NULL,NULL),\n", + "\n", + "('Motorcycles','Our motorcycles are state of the art replicas of classic as well as contemporary motorcycle legends such as Harley Davidson, Ducati and Vespa. Models contain stunning details such as official logos, rotating wheels, working kickstand, front suspension, gear-shift lever, footbrake lever, and drive chain. Materials used include diecast and plastic. The models range in size from 1:10 to 1:50 scale and include numerous limited edition and several out-of-production vehicles. All models come fully assembled and ready for display in the home or office. Most include a certificate of authenticity.',NULL,NULL),\n", + "\n", + "('Planes','Unique, diecast airplane and helicopter replicas suitable for collections, as well as home, office or classroom decorations. Models contain stunning details such as official logos and insignias, rotating jet engines and propellers, retractable wheels, and so on. Most come fully assembled and with a certificate of authenticity from their manufacturers.',NULL,NULL),\n", + "\n", + "('Ships','The perfect holiday or anniversary gift for executives, clients, friends, and family. These handcrafted model ships are unique, stunning works of art that will be treasured for generations! They come fully assembled and ready for display in the home or office. We guarantee the highest quality, and best value.',NULL,NULL),\n", + "\n", + "('Trains','Model trains are a rewarding hobby for enthusiasts of all ages. Whether you\\'re looking for collectible wooden trains, electric streetcars or locomotives, you\\'ll find a number of great choices for any budget within this category. The interactive aspect of trains makes toy trains perfect for young children. The wooden train sets are ideal for children under the age of 5.',NULL,NULL),\n", + "\n", + "('Trucks and Buses','The Truck and Bus models are realistic replicas of buses and specialized trucks produced from the early 1920s to present. The models range in size from 1:12 to 1:50 scale and include numerous limited edition and several out-of-production vehicles. Materials used include tin, diecast and plastic. All models include a certificate of authenticity from their manufacturers and are a perfect ornament for the home and office.',NULL,NULL),\n", + "\n", + "('Vintage Cars','Our Vintage Car models realistically portray automobiles produced from the early 1900s through the 1940s. Materials used include Bakelite, diecast, plastic and wood. Most of the replicas are in the 1:18 and 1:24 scale sizes, which provide the optimum in detail and accuracy. Prices range from $30.00 up to $180.00 for some special limited edition replicas. All models include a certificate of authenticity from their manufacturers and come fully assembled and ready for display in the home or office.',NULL,NULL);\n", + "\n", + "\n", + "/*Data for the table `products` */\n", + "\n", + "insert into `products`(`productCode`,`productName`,`productLine`,`productScale`,`productVendor`,`productDescription`,`quantityInStock`,`buyPrice`,`MSRP`) values \n", + "\n", + "('S10_1678','1969 Harley Davidson Ultimate Chopper','Motorcycles','1:10','Min Lin Diecast','This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention.',7933,'48.81','95.70'),\n", + "\n", + "('S10_1949','1952 Alpine Renault 1300','Classic Cars','1:10','Classic Metal Creations','Turnable front wheels; steering function; detailed interior; detailed engine; opening hood; opening trunk; opening doors; and detailed chassis.',7305,'98.58','214.30'),\n", + "\n", + "('S10_2016','1996 Moto Guzzi 1100i','Motorcycles','1:10','Highway 66 Mini Classics','Official Moto Guzzi logos and insignias, saddle bags located on side of motorcycle, detailed engine, working steering, working suspension, two leather seats, luggage rack, dual exhaust pipes, small saddle bag located on handle bars, two-tone paint with chrome accents, superior die-cast detail , rotating wheels , working kick stand, diecast metal with plastic parts and baked enamel finish.',6625,'68.99','118.94'),\n", + "\n", + "('S10_4698','2003 Harley-Davidson Eagle Drag Bike','Motorcycles','1:10','Red Start Diecast','Model features, official Harley Davidson logos and insignias, detachable rear wheelie bar, heavy diecast metal with resin parts, authentic multi-color tampo-printed graphics, separate engine drive belts, free-turning front fork, rotating tires and rear racing slick, certificate of authenticity, detailed engine, display stand\\r\\n, precision diecast replica, baked enamel finish, 1:10 scale model, removable fender, seat and tank cover piece for displaying the superior detail of the v-twin engine',5582,'91.02','193.66'),\n", + "\n", + "('S10_4757','1972 Alfa Romeo GTA','Classic Cars','1:10','Motor City Art Classics','Features include: Turnable front wheels; steering function; detailed interior; detailed engine; opening hood; opening trunk; opening doors; and detailed chassis.',3252,'85.68','136.00'),\n", + "\n", + "('S10_4962','1962 LanciaA Delta 16V','Classic Cars','1:10','Second Gear Diecast','Features include: Turnable front wheels; steering function; detailed interior; detailed engine; opening hood; opening trunk; opening doors; and detailed chassis.',6791,'103.42','147.74'),\n", + "\n", + "('S12_1099','1968 Ford Mustang','Classic Cars','1:12','Autoart Studio Design','Hood, doors and trunk all open to reveal highly detailed interior features. Steering wheel actually turns the front wheels. Color dark green.',68,'95.34','194.57'),\n", + "\n", + "('S12_1108','2001 Ferrari Enzo','Classic Cars','1:12','Second Gear Diecast','Turnable front wheels; steering function; detailed interior; detailed engine; opening hood; opening trunk; opening doors; and detailed chassis.',3619,'95.59','207.80'),\n", + "\n", + "('S12_1666','1958 Setra Bus','Trucks and Buses','1:12','Welly Diecast Productions','Model features 30 windows, skylights & glare resistant glass, working steering system, original logos',1579,'77.90','136.67'),\n", + "\n", + "('S12_2823','2002 Suzuki XREO','Motorcycles','1:12','Unimax Art Galleries','Official logos and insignias, saddle bags located on side of motorcycle, detailed engine, working steering, working suspension, two leather seats, luggage rack, dual exhaust pipes, small saddle bag located on handle bars, two-tone paint with chrome accents, superior die-cast detail , rotating wheels , working kick stand, diecast metal with plastic parts and baked enamel finish.',9997,'66.27','150.62'),\n", + "\n", + "('S12_3148','1969 Corvair Monza','Classic Cars','1:18','Welly Diecast Productions','1:18 scale die-cast about 10\\\" long doors open, hood opens, trunk opens and wheels roll',6906,'89.14','151.08'),\n", + "\n", + "('S12_3380','1968 Dodge Charger','Classic Cars','1:12','Welly Diecast Productions','1:12 scale model of a 1968 Dodge Charger. Hood, doors and trunk all open to reveal highly detailed interior features. Steering wheel actually turns the front wheels. Color black',9123,'75.16','117.44'),\n", + "\n", + "('S12_3891','1969 Ford Falcon','Classic Cars','1:12','Second Gear Diecast','Turnable front wheels; steering function; detailed interior; detailed engine; opening hood; opening trunk; opening doors; and detailed chassis.',1049,'83.05','173.02'),\n", + "\n", + "('S12_3990','1970 Plymouth Hemi Cuda','Classic Cars','1:12','Studio M Art Models','Very detailed 1970 Plymouth Cuda model in 1:12 scale. The Cuda is generally accepted as one of the fastest original muscle cars from the 1970s. This model is a reproduction of one of the orginal 652 cars built in 1970. Red color.',5663,'31.92','79.80'),\n", + "\n", + "('S12_4473','1957 Chevy Pickup','Trucks and Buses','1:12','Exoto Designs','1:12 scale die-cast about 20\\\" long Hood opens, Rubber wheels',6125,'55.70','118.50'),\n", + "\n", + "('S12_4675','1969 Dodge Charger','Classic Cars','1:12','Welly Diecast Productions','Detailed model of the 1969 Dodge Charger. This model includes finely detailed interior and exterior features. Painted in red and white.',7323,'58.73','115.16'),\n", + "\n", + "('S18_1097','1940 Ford Pickup Truck','Trucks and Buses','1:18','Studio M Art Models','This model features soft rubber tires, working steering, rubber mud guards, authentic Ford logos, detailed undercarriage, opening doors and hood, removable split rear gate, full size spare mounted in bed, detailed interior with opening glove box',2613,'58.33','116.67'),\n", + "\n", + "('S18_1129','1993 Mazda RX-7','Classic Cars','1:18','Highway 66 Mini Classics','This model features, opening hood, opening doors, detailed engine, rear spoiler, opening trunk, working steering, tinted windows, baked enamel finish. Color red.',3975,'83.51','141.54'),\n", + "\n", + "('S18_1342','1937 Lincoln Berline','Vintage Cars','1:18','Motor City Art Classics','Features opening engine cover, doors, trunk, and fuel filler cap. Color black',8693,'60.62','102.74'),\n", + "\n", + "('S18_1367','1936 Mercedes-Benz 500K Special Roadster','Vintage Cars','1:18','Studio M Art Models','This 1:18 scale replica is constructed of heavy die-cast metal and has all the features of the original: working doors and rumble seat, independent spring suspension, detailed interior, working steering system, and a bifold hood that reveals an engine so accurate that it even includes the wiring. All this is topped off with a baked enamel finish. Color white.',8635,'24.26','53.91'),\n", + "\n", + "('S18_1589','1965 Aston Martin DB5','Classic Cars','1:18','Classic Metal Creations','Die-cast model of the silver 1965 Aston Martin DB5 in silver. This model includes full wire wheels and doors that open with fully detailed passenger compartment. In 1:18 scale, this model measures approximately 10 inches/20 cm long.',9042,'65.96','124.44'),\n", + "\n", + "('S18_1662','1980s Black Hawk Helicopter','Planes','1:18','Red Start Diecast','1:18 scale replica of actual Army\\'s UH-60L BLACK HAWK Helicopter. 100% hand-assembled. Features rotating rotor blades, propeller blades and rubber wheels.',5330,'77.27','157.69'),\n", + "\n", + "('S18_1749','1917 Grand Touring Sedan','Vintage Cars','1:18','Welly Diecast Productions','This 1:18 scale replica of the 1917 Grand Touring car has all the features you would expect from museum quality reproductions: all four doors and bi-fold hood opening, detailed engine and instrument panel, chrome-look trim, and tufted upholstery, all topped off with a factory baked-enamel finish.',2724,'86.70','170.00'),\n", + "\n", + "('S18_1889','1948 Porsche 356-A Roadster','Classic Cars','1:18','Gearbox Collectibles','This precision die-cast replica features opening doors, superb detail and craftsmanship, working steering system, opening forward compartment, opening rear trunk with removable spare, 4 wheel independent spring suspension as well as factory baked enamel finish.',8826,'53.90','77.00'),\n", + "\n", + "('S18_1984','1995 Honda Civic','Classic Cars','1:18','Min Lin Diecast','This model features, opening hood, opening doors, detailed engine, rear spoiler, opening trunk, working steering, tinted windows, baked enamel finish. Color yellow.',9772,'93.89','142.25'),\n", + "\n", + "('S18_2238','1998 Chrysler Plymouth Prowler','Classic Cars','1:18','Gearbox Collectibles','Turnable front wheels; steering function; detailed interior; detailed engine; opening hood; opening trunk; opening doors; and detailed chassis.',4724,'101.51','163.73'),\n", + "\n", + "('S18_2248','1911 Ford Town Car','Vintage Cars','1:18','Motor City Art Classics','Features opening hood, opening doors, opening trunk, wide white wall tires, front door arm rests, working steering system.',540,'33.30','60.54'),\n", + "\n", + "('S18_2319','1964 Mercedes Tour Bus','Trucks and Buses','1:18','Unimax Art Galleries','Exact replica. 100+ parts. working steering system, original logos',8258,'74.86','122.73'),\n", + "\n", + "('S18_2325','1932 Model A Ford J-Coupe','Vintage Cars','1:18','Autoart Studio Design','This model features grille-mounted chrome horn, lift-up louvered hood, fold-down rumble seat, working steering system, chrome-covered spare, opening doors, detailed and wired engine',9354,'58.48','127.13'),\n", + "\n", + "('S18_2432','1926 Ford Fire Engine','Trucks and Buses','1:18','Carousel DieCast Legends','Gleaming red handsome appearance. Everything is here the fire hoses, ladder, axes, bells, lanterns, ready to fight any inferno.',2018,'24.92','60.77'),\n", + "\n", + "('S18_2581','P-51-D Mustang','Planes','1:72','Gearbox Collectibles','Has retractable wheels and comes with a stand',992,'49.00','84.48'),\n", + "\n", + "('S18_2625','1936 Harley Davidson El Knucklehead','Motorcycles','1:18','Welly Diecast Productions','Intricately detailed with chrome accents and trim, official die-struck logos and baked enamel finish.',4357,'24.23','60.57'),\n", + "\n", + "('S18_2795','1928 Mercedes-Benz SSK','Vintage Cars','1:18','Gearbox Collectibles','This 1:18 replica features grille-mounted chrome horn, lift-up louvered hood, fold-down rumble seat, working steering system, chrome-covered spare, opening doors, detailed and wired engine. Color black.',548,'72.56','168.75'),\n", + "\n", + "('S18_2870','1999 Indy 500 Monte Carlo SS','Classic Cars','1:18','Red Start Diecast','Features include opening and closing doors. Color: Red',8164,'56.76','132.00'),\n", + "\n", + "('S18_2949','1913 Ford Model T Speedster','Vintage Cars','1:18','Carousel DieCast Legends','This 250 part reproduction includes moving handbrakes, clutch, throttle and foot pedals, squeezable horn, detailed wired engine, removable water, gas, and oil cans, pivoting monocle windshield, all topped with a baked enamel red finish. Each replica comes with an Owners Title and Certificate of Authenticity. Color red.',4189,'60.78','101.31'),\n", + "\n", + "('S18_2957','1934 Ford V8 Coupe','Vintage Cars','1:18','Min Lin Diecast','Chrome Trim, Chrome Grille, Opening Hood, Opening Doors, Opening Trunk, Detailed Engine, Working Steering System',5649,'34.35','62.46'),\n", + "\n", + "('S18_3029','1999 Yamaha Speed Boat','Ships','1:18','Min Lin Diecast','Exact replica. Wood and Metal. Many extras including rigging, long boats, pilot house, anchors, etc. Comes with three masts, all square-rigged.',4259,'51.61','86.02'),\n", + "\n", + "('S18_3136','18th Century Vintage Horse Carriage','Vintage Cars','1:18','Red Start Diecast','Hand crafted diecast-like metal horse carriage is re-created in about 1:18 scale of antique horse carriage. This antique style metal Stagecoach is all hand-assembled with many different parts.\\r\\n\\r\\nThis collectible metal horse carriage is painted in classic Red, and features turning steering wheel and is entirely hand-finished.',5992,'60.74','104.72'),\n", + "\n", + "('S18_3140','1903 Ford Model A','Vintage Cars','1:18','Unimax Art Galleries','Features opening trunk, working steering system',3913,'68.30','136.59'),\n", + "\n", + "('S18_3232','1992 Ferrari 360 Spider red','Classic Cars','1:18','Unimax Art Galleries','his replica features opening doors, superb detail and craftsmanship, working steering system, opening forward compartment, opening rear trunk with removable spare, 4 wheel independent spring suspension as well as factory baked enamel finish.',8347,'77.90','169.34'),\n", + "\n", + "('S18_3233','1985 Toyota Supra','Classic Cars','1:18','Highway 66 Mini Classics','This model features soft rubber tires, working steering, rubber mud guards, authentic Ford logos, detailed undercarriage, opening doors and hood, removable split rear gate, full size spare mounted in bed, detailed interior with opening glove box',7733,'57.01','107.57'),\n", + "\n", + "('S18_3259','Collectable Wooden Train','Trains','1:18','Carousel DieCast Legends','Hand crafted wooden toy train set is in about 1:18 scale, 25 inches in total length including 2 additional carts, of actual vintage train. This antique style wooden toy train model set is all hand-assembled with 100% wood.',6450,'67.56','100.84'),\n", + "\n", + "('S18_3278','1969 Dodge Super Bee','Classic Cars','1:18','Min Lin Diecast','This replica features opening doors, superb detail and craftsmanship, working steering system, opening forward compartment, opening rear trunk with removable spare, 4 wheel independent spring suspension as well as factory baked enamel finish.',1917,'49.05','80.41'),\n", + "\n", + "('S18_3320','1917 Maxwell Touring Car','Vintage Cars','1:18','Exoto Designs','Features Gold Trim, Full Size Spare Tire, Chrome Trim, Chrome Grille, Opening Hood, Opening Doors, Opening Trunk, Detailed Engine, Working Steering System',7913,'57.54','99.21'),\n", + "\n", + "('S18_3482','1976 Ford Gran Torino','Classic Cars','1:18','Gearbox Collectibles','Highly detailed 1976 Ford Gran Torino \\\"Starsky and Hutch\\\" diecast model. Very well constructed and painted in red and white patterns.',9127,'73.49','146.99'),\n", + "\n", + "('S18_3685','1948 Porsche Type 356 Roadster','Classic Cars','1:18','Gearbox Collectibles','This model features working front and rear suspension on accurately replicated and actuating shock absorbers as well as opening engine cover, rear stabilizer flap, and 4 opening doors.',8990,'62.16','141.28'),\n", + "\n", + "('S18_3782','1957 Vespa GS150','Motorcycles','1:18','Studio M Art Models','Features rotating wheels , working kick stand. Comes with stand.',7689,'32.95','62.17'),\n", + "\n", + "('S18_3856','1941 Chevrolet Special Deluxe Cabriolet','Vintage Cars','1:18','Exoto Designs','Features opening hood, opening doors, opening trunk, wide white wall tires, front door arm rests, working steering system, leather upholstery. Color black.',2378,'64.58','105.87'),\n", + "\n", + "('S18_4027','1970 Triumph Spitfire','Classic Cars','1:18','Min Lin Diecast','Features include opening and closing doors. Color: White.',5545,'91.92','143.62'),\n", + "\n", + "('S18_4409','1932 Alfa Romeo 8C2300 Spider Sport','Vintage Cars','1:18','Exoto Designs','This 1:18 scale precision die cast replica features the 6 front headlights of the original, plus a detailed version of the 142 horsepower straight 8 engine, dual spares and their famous comprehensive dashboard. Color black.',6553,'43.26','92.03'),\n", + "\n", + "('S18_4522','1904 Buick Runabout','Vintage Cars','1:18','Exoto Designs','Features opening trunk, working steering system',8290,'52.66','87.77'),\n", + "\n", + "('S18_4600','1940s Ford truck','Trucks and Buses','1:18','Motor City Art Classics','This 1940s Ford Pick-Up truck is re-created in 1:18 scale of original 1940s Ford truck. This antique style metal 1940s Ford Flatbed truck is all hand-assembled. This collectible 1940\\'s Pick-Up truck is painted in classic dark green color, and features rotating wheels.',3128,'84.76','121.08'),\n", + "\n", + "('S18_4668','1939 Cadillac Limousine','Vintage Cars','1:18','Studio M Art Models','Features completely detailed interior including Velvet flocked drapes,deluxe wood grain floor, and a wood grain casket with seperate chrome handles',6645,'23.14','50.31'),\n", + "\n", + "('S18_4721','1957 Corvette Convertible','Classic Cars','1:18','Classic Metal Creations','1957 die cast Corvette Convertible in Roman Red with white sides and whitewall tires. 1:18 scale quality die-cast with detailed engine and underbvody. Now you can own The Classic Corvette.',1249,'69.93','148.80'),\n", + "\n", + "('S18_4933','1957 Ford Thunderbird','Classic Cars','1:18','Studio M Art Models','This 1:18 scale precision die-cast replica, with its optional porthole hardtop and factory baked-enamel Thunderbird Bronze finish, is a 100% accurate rendition of this American classic.',3209,'34.21','71.27'),\n", + "\n", + "('S24_1046','1970 Chevy Chevelle SS 454','Classic Cars','1:24','Unimax Art Galleries','This model features rotating wheels, working streering system and opening doors. All parts are particularly delicate due to their precise scale and require special care and attention. It should not be picked up by the doors, roof, hood or trunk.',1005,'49.24','73.49'),\n", + "\n", + "('S24_1444','1970 Dodge Coronet','Classic Cars','1:24','Highway 66 Mini Classics','1:24 scale die-cast about 18\\\" long doors open, hood opens and rubber wheels',4074,'32.37','57.80'),\n", + "\n", + "('S24_1578','1997 BMW R 1100 S','Motorcycles','1:24','Autoart Studio Design','Detailed scale replica with working suspension and constructed from over 70 parts',7003,'60.86','112.70'),\n", + "\n", + "('S24_1628','1966 Shelby Cobra 427 S/C','Classic Cars','1:24','Carousel DieCast Legends','This diecast model of the 1966 Shelby Cobra 427 S/C includes many authentic details and operating parts. The 1:24 scale model of this iconic lighweight sports car from the 1960s comes in silver and it\\'s own display case.',8197,'29.18','50.31'),\n", + "\n", + "('S24_1785','1928 British Royal Navy Airplane','Planes','1:24','Classic Metal Creations','Official logos and insignias',3627,'66.74','109.42'),\n", + "\n", + "('S24_1937','1939 Chevrolet Deluxe Coupe','Vintage Cars','1:24','Motor City Art Classics','This 1:24 scale die-cast replica of the 1939 Chevrolet Deluxe Coupe has the same classy look as the original. Features opening trunk, hood and doors and a showroom quality baked enamel finish.',7332,'22.57','33.19'),\n", + "\n", + "('S24_2000','1960 BSA Gold Star DBD34','Motorcycles','1:24','Highway 66 Mini Classics','Detailed scale replica with working suspension and constructed from over 70 parts',15,'37.32','76.17'),\n", + "\n", + "('S24_2011','18th century schooner','Ships','1:24','Carousel DieCast Legends','All wood with canvas sails. Many extras including rigging, long boats, pilot house, anchors, etc. Comes with 4 masts, all square-rigged.',1898,'82.34','122.89'),\n", + "\n", + "('S24_2022','1938 Cadillac V-16 Presidential Limousine','Vintage Cars','1:24','Classic Metal Creations','This 1:24 scale precision die cast replica of the 1938 Cadillac V-16 Presidential Limousine has all the details of the original, from the flags on the front to an opening back seat compartment complete with telephone and rifle. Features factory baked-enamel black finish, hood goddess ornament, working jump seats.',2847,'20.61','44.80'),\n", + "\n", + "('S24_2300','1962 Volkswagen Microbus','Trucks and Buses','1:24','Autoart Studio Design','This 1:18 scale die cast replica of the 1962 Microbus is loaded with features: A working steering system, opening front doors and tailgate, and famous two-tone factory baked enamel finish, are all topped of by the sliding, real fabric, sunroof.',2327,'61.34','127.79'),\n", + "\n", + "('S24_2360','1982 Ducati 900 Monster','Motorcycles','1:24','Highway 66 Mini Classics','Features two-tone paint with chrome accents, superior die-cast detail , rotating wheels , working kick stand',6840,'47.10','69.26'),\n", + "\n", + "('S24_2766','1949 Jaguar XK 120','Classic Cars','1:24','Classic Metal Creations','Precision-engineered from original Jaguar specification in perfect scale ratio. Features opening doors, superb detail and craftsmanship, working steering system, opening forward compartment, opening rear trunk with removable spare, 4 wheel independent spring suspension as well as factory baked enamel finish.',2350,'47.25','90.87'),\n", + "\n", + "('S24_2840','1958 Chevy Corvette Limited Edition','Classic Cars','1:24','Carousel DieCast Legends','The operating parts of this 1958 Chevy Corvette Limited Edition are particularly delicate due to their precise scale and require special care and attention. Features rotating wheels, working streering, opening doors and trunk. Color dark green.',2542,'15.91','35.36'),\n", + "\n", + "('S24_2841','1900s Vintage Bi-Plane','Planes','1:24','Autoart Studio Design','Hand crafted diecast-like metal bi-plane is re-created in about 1:24 scale of antique pioneer airplane. All hand-assembled with many different parts. Hand-painted in classic yellow and features correct markings of original airplane.',5942,'34.25','68.51'),\n", + "\n", + "('S24_2887','1952 Citroen-15CV','Classic Cars','1:24','Exoto Designs','Precision crafted hand-assembled 1:18 scale reproduction of the 1952 15CV, with its independent spring suspension, working steering system, opening doors and hood, detailed engine and instrument panel, all topped of with a factory fresh baked enamel finish.',1452,'72.82','117.44'),\n", + "\n", + "('S24_2972','1982 Lamborghini Diablo','Classic Cars','1:24','Second Gear Diecast','This replica features opening doors, superb detail and craftsmanship, working steering system, opening forward compartment, opening rear trunk with removable spare, 4 wheel independent spring suspension as well as factory baked enamel finish.',7723,'16.24','37.76'),\n", + "\n", + "('S24_3151','1912 Ford Model T Delivery Wagon','Vintage Cars','1:24','Min Lin Diecast','This model features chrome trim and grille, opening hood, opening doors, opening trunk, detailed engine, working steering system. Color white.',9173,'46.91','88.51'),\n", + "\n", + "('S24_3191','1969 Chevrolet Camaro Z28','Classic Cars','1:24','Exoto Designs','1969 Z/28 Chevy Camaro 1:24 scale replica. The operating parts of this limited edition 1:24 scale diecast model car 1969 Chevy Camaro Z28- hood, trunk, wheels, streering, suspension and doors- are particularly delicate due to their precise scale and require special care and attention.',4695,'50.51','85.61'),\n", + "\n", + "('S24_3371','1971 Alpine Renault 1600s','Classic Cars','1:24','Welly Diecast Productions','This 1971 Alpine Renault 1600s replica Features opening doors, superb detail and craftsmanship, working steering system, opening forward compartment, opening rear trunk with removable spare, 4 wheel independent spring suspension as well as factory baked enamel finish.',7995,'38.58','61.23'),\n", + "\n", + "('S24_3420','1937 Horch 930V Limousine','Vintage Cars','1:24','Autoart Studio Design','Features opening hood, opening doors, opening trunk, wide white wall tires, front door arm rests, working steering system',2902,'26.30','65.75'),\n", + "\n", + "('S24_3432','2002 Chevy Corvette','Classic Cars','1:24','Gearbox Collectibles','The operating parts of this limited edition Diecast 2002 Chevy Corvette 50th Anniversary Pace car Limited Edition are particularly delicate due to their precise scale and require special care and attention. Features rotating wheels, poseable streering, opening doors and trunk.',9446,'62.11','107.08'),\n", + "\n", + "('S24_3816','1940 Ford Delivery Sedan','Vintage Cars','1:24','Carousel DieCast Legends','Chrome Trim, Chrome Grille, Opening Hood, Opening Doors, Opening Trunk, Detailed Engine, Working Steering System. Color black.',6621,'48.64','83.86'),\n", + "\n", + "('S24_3856','1956 Porsche 356A Coupe','Classic Cars','1:18','Classic Metal Creations','Features include: Turnable front wheels; steering function; detailed interior; detailed engine; opening hood; opening trunk; opening doors; and detailed chassis.',6600,'98.30','140.43'),\n", + "\n", + "('S24_3949','Corsair F4U ( Bird Cage)','Planes','1:24','Second Gear Diecast','Has retractable wheels and comes with a stand. Official logos and insignias.',6812,'29.34','68.24'),\n", + "\n", + "('S24_3969','1936 Mercedes Benz 500k Roadster','Vintage Cars','1:24','Red Start Diecast','This model features grille-mounted chrome horn, lift-up louvered hood, fold-down rumble seat, working steering system and rubber wheels. Color black.',2081,'21.75','41.03'),\n", + "\n", + "('S24_4048','1992 Porsche Cayenne Turbo Silver','Classic Cars','1:24','Exoto Designs','This replica features opening doors, superb detail and craftsmanship, working steering system, opening forward compartment, opening rear trunk with removable spare, 4 wheel independent spring suspension as well as factory baked enamel finish.',6582,'69.78','118.28'),\n", + "\n", + "('S24_4258','1936 Chrysler Airflow','Vintage Cars','1:24','Second Gear Diecast','Features opening trunk, working steering system. Color dark green.',4710,'57.46','97.39'),\n", + "\n", + "('S24_4278','1900s Vintage Tri-Plane','Planes','1:24','Unimax Art Galleries','Hand crafted diecast-like metal Triplane is Re-created in about 1:24 scale of antique pioneer airplane. This antique style metal triplane is all hand-assembled with many different parts.',2756,'36.23','72.45'),\n", + "\n", + "('S24_4620','1961 Chevrolet Impala','Classic Cars','1:18','Classic Metal Creations','This 1:18 scale precision die-cast reproduction of the 1961 Chevrolet Impala has all the features-doors, hood and trunk that open; detailed 409 cubic-inch engine; chrome dashboard and stick shift, two-tone interior; working steering system; all topped of with a factory baked-enamel finish.',7869,'32.33','80.84'),\n", + "\n", + "('S32_1268','1980’s GM Manhattan Express','Trucks and Buses','1:32','Motor City Art Classics','This 1980’s era new look Manhattan express is still active, running from the Bronx to mid-town Manhattan. Has 35 opeining windows and working lights. Needs a battery.',5099,'53.93','96.31'),\n", + "\n", + "('S32_1374','1997 BMW F650 ST','Motorcycles','1:32','Exoto Designs','Features official die-struck logos and baked enamel finish. Comes with stand.',178,'66.92','99.89'),\n", + "\n", + "('S32_2206','1982 Ducati 996 R','Motorcycles','1:32','Gearbox Collectibles','Features rotating wheels , working kick stand. Comes with stand.',9241,'24.14','40.23'),\n", + "\n", + "('S32_2509','1954 Greyhound Scenicruiser','Trucks and Buses','1:32','Classic Metal Creations','Model features bi-level seating, 50 windows, skylights & glare resistant glass, working steering system, original logos',2874,'25.98','54.11'),\n", + "\n", + "('S32_3207','1950\\'s Chicago Surface Lines Streetcar','Trains','1:32','Gearbox Collectibles','This streetcar is a joy to see. It has 80 separate windows, electric wire guides, detailed interiors with seats, poles and drivers controls, rolling and turning wheel assemblies, plus authentic factory baked-enamel finishes (Green Hornet for Chicago and Cream and Crimson for Boston).',8601,'26.72','62.14'),\n", + "\n", + "('S32_3522','1996 Peterbilt 379 Stake Bed with Outrigger','Trucks and Buses','1:32','Red Start Diecast','This model features, opening doors, detailed engine, working steering, tinted windows, detailed interior, die-struck logos, removable stakes operating outriggers, detachable second trailer, functioning 360-degree self loader, precision molded resin trailer and trim, baked enamel finish on cab',814,'33.61','64.64'),\n", + "\n", + "('S32_4289','1928 Ford Phaeton Deluxe','Vintage Cars','1:32','Highway 66 Mini Classics','This model features grille-mounted chrome horn, lift-up louvered hood, fold-down rumble seat, working steering system',136,'33.02','68.79'),\n", + "\n", + "('S32_4485','1974 Ducati 350 Mk3 Desmo','Motorcycles','1:32','Second Gear Diecast','This model features two-tone paint with chrome accents, superior die-cast detail , rotating wheels , working kick stand',3341,'56.13','102.05'),\n", + "\n", + "('S50_1341','1930 Buick Marquette Phaeton','Vintage Cars','1:50','Studio M Art Models','Features opening trunk, working steering system',7062,'27.06','43.64'),\n", + "\n", + "('S50_1392','Diamond T620 Semi-Skirted Tanker','Trucks and Buses','1:50','Highway 66 Mini Classics','This limited edition model is licensed and perfectly scaled for Lionel Trains. The Diamond T620 has been produced in solid precision diecast and painted with a fire baked enamel finish. It comes with a removable tanker and is a perfect model to add authenticity to your static train or car layout or to just have on display.',1016,'68.29','115.75'),\n", + "\n", + "('S50_1514','1962 City of Detroit Streetcar','Trains','1:50','Classic Metal Creations','This streetcar is a joy to see. It has 99 separate windows, electric wire guides, detailed interiors with seats, poles and drivers controls, rolling and turning wheel assemblies, plus authentic factory baked-enamel finishes (Green Hornet for Chicago and Cream and Crimson for Boston).',1645,'37.49','58.58'),\n", + "\n", + "('S50_4713','2002 Yamaha YZR M1','Motorcycles','1:50','Autoart Studio Design','Features rotating wheels , working kick stand. Comes with stand.',600,'34.17','81.36'),\n", + "\n", + "('S700_1138','The Schooner Bluenose','Ships','1:700','Autoart Studio Design','All wood with canvas sails. Measures 31 1/2 inches in Length, 22 inches High and 4 3/4 inches Wide. Many extras.\\r\\nThe schooner Bluenose was built in Nova Scotia in 1921 to fish the rough waters off the coast of Newfoundland. Because of the Bluenose racing prowess she became the pride of all Canadians. Still featured on stamps and the Canadian dime, the Bluenose was lost off Haiti in 1946.',1897,'34.00','66.67'),\n", + "\n", + "('S700_1691','American Airlines: B767-300','Planes','1:700','Min Lin Diecast','Exact replia with official logos and insignias and retractable wheels',5841,'51.15','91.34'),\n", + "\n", + "('S700_1938','The Mayflower','Ships','1:700','Studio M Art Models','Measures 31 1/2 inches Long x 25 1/2 inches High x 10 5/8 inches Wide\\r\\nAll wood with canvas sail. Extras include long boats, rigging, ladders, railing, anchors, side cannons, hand painted, etc.',737,'43.30','86.61'),\n", + "\n", + "('S700_2047','HMS Bounty','Ships','1:700','Unimax Art Galleries','Measures 30 inches Long x 27 1/2 inches High x 4 3/4 inches Wide. \\r\\nMany extras including rigging, long boats, pilot house, anchors, etc. Comes with three masts, all square-rigged.',3501,'39.83','90.52'),\n", + "\n", + "('S700_2466','America West Airlines B757-200','Planes','1:700','Motor City Art Classics','Official logos and insignias. Working steering system. Rotating jet engines',9653,'68.80','99.72'),\n", + "\n", + "('S700_2610','The USS Constitution Ship','Ships','1:700','Red Start Diecast','All wood with canvas sails. Measures 31 1/2\\\" Length x 22 3/8\\\" High x 8 1/4\\\" Width. Extras include 4 boats on deck, sea sprite on bow, anchors, copper railing, pilot houses, etc.',7083,'33.97','72.28'),\n", + "\n", + "('S700_2824','1982 Camaro Z28','Classic Cars','1:18','Carousel DieCast Legends','Features include opening and closing doors. Color: White. \\r\\nMeasures approximately 9 1/2\\\" Long.',6934,'46.53','101.15'),\n", + "\n", + "('S700_2834','ATA: B757-300','Planes','1:700','Highway 66 Mini Classics','Exact replia with official logos and insignias and retractable wheels',7106,'59.33','118.65'),\n", + "\n", + "('S700_3167','F/A 18 Hornet 1/72','Planes','1:72','Motor City Art Classics','10\\\" Wingspan with retractable landing gears.Comes with pilot',551,'54.40','80.00'),\n", + "\n", + "('S700_3505','The Titanic','Ships','1:700','Carousel DieCast Legends','Completed model measures 19 1/2 inches long, 9 inches high, 3inches wide and is in barn red/black. All wood and metal.',1956,'51.09','100.17'),\n", + "\n", + "('S700_3962','The Queen Mary','Ships','1:700','Welly Diecast Productions','Exact replica. Wood and Metal. Many extras including rigging, long boats, pilot house, anchors, etc. Comes with three masts, all square-rigged.',5088,'53.63','99.31'),\n", + "\n", + "('S700_4002','American Airlines: MD-11S','Planes','1:700','Second Gear Diecast','Polished finish. Exact replia with official logos and insignias and retractable wheels',8820,'36.27','74.03'),\n", + "\n", + "('S72_1253','Boeing X-32A JSF','Planes','1:72','Motor City Art Classics','10\\\" Wingspan with retractable landing gears.Comes with pilot',4857,'32.77','49.66'),\n", + "\n", + "('S72_3212','Pont Yacht','Ships','1:72','Unimax Art Galleries','Measures 38 inches Long x 33 3/4 inches High. Includes a stand.\\r\\nMany extras including rigging, long boats, pilot house, anchors, etc. Comes with 2 masts, all square-rigged',414,'33.30','54.60');\n", + "\n", + "/*Data for the table `orders` */\n", + "insert into `orders`(`orderNumber`,`orderDate`,`requiredDate`,`shippedDate`,`status`,`comments`,`customerNumber`) values \n", + "\n", + "(10100,'2003-01-06','2003-01-13','2003-01-10','Shipped',NULL,363),\n", + "\n", + "(10101,'2003-01-09','2003-01-18','2003-01-11','Shipped','Check on availability.',128),\n", + "\n", + "(10102,'2003-01-10','2003-01-18','2003-01-14','Shipped',NULL,181),\n", + "\n", + "(10103,'2003-01-29','2003-02-07','2003-02-02','Shipped',NULL,121),\n", + "\n", + "(10104,'2003-01-31','2003-02-09','2003-02-01','Shipped',NULL,141),\n", + "\n", + "(10105,'2003-02-11','2003-02-21','2003-02-12','Shipped',NULL,145),\n", + "\n", + "(10106,'2003-02-17','2003-02-24','2003-02-21','Shipped',NULL,278),\n", + "\n", + "(10107,'2003-02-24','2003-03-03','2003-02-26','Shipped','Difficult to negotiate with customer. We need more marketing materials',131),\n", + "\n", + "(10108,'2003-03-03','2003-03-12','2003-03-08','Shipped',NULL,385),\n", + "\n", + "(10109,'2003-03-10','2003-03-19','2003-03-11','Shipped','Customer requested that FedEx Ground is used for this shipping',486),\n", + "\n", + "(10110,'2003-03-18','2003-03-24','2003-03-20','Shipped',NULL,187),\n", + "\n", + "(10111,'2003-03-25','2003-03-31','2003-03-30','Shipped',NULL,129),\n", + "\n", + "(10112,'2003-03-24','2003-04-03','2003-03-29','Shipped','Customer requested that ad materials (such as posters, pamphlets) be included in the shippment',144),\n", + "\n", + "(10113,'2003-03-26','2003-04-02','2003-03-27','Shipped',NULL,124),\n", + "\n", + "(10114,'2003-04-01','2003-04-07','2003-04-02','Shipped',NULL,172),\n", + "\n", + "(10115,'2003-04-04','2003-04-12','2003-04-07','Shipped',NULL,424),\n", + "\n", + "(10116,'2003-04-11','2003-04-19','2003-04-13','Shipped',NULL,381),\n", + "\n", + "(10117,'2003-04-16','2003-04-24','2003-04-17','Shipped',NULL,148),\n", + "\n", + "(10118,'2003-04-21','2003-04-29','2003-04-26','Shipped','Customer has worked with some of our vendors in the past and is aware of their MSRP',216),\n", + "\n", + "(10119,'2003-04-28','2003-05-05','2003-05-02','Shipped',NULL,382),\n", + "\n", + "(10120,'2003-04-29','2003-05-08','2003-05-01','Shipped',NULL,114),\n", + "\n", + "(10121,'2003-05-07','2003-05-13','2003-05-13','Shipped',NULL,353),\n", + "\n", + "(10122,'2003-05-08','2003-05-16','2003-05-13','Shipped',NULL,350),\n", + "\n", + "(10123,'2003-05-20','2003-05-29','2003-05-22','Shipped',NULL,103),\n", + "\n", + "(10124,'2003-05-21','2003-05-29','2003-05-25','Shipped','Customer very concerned about the exact color of the models. There is high risk that he may dispute the order because there is a slight color mismatch',112),\n", + "\n", + "(10125,'2003-05-21','2003-05-27','2003-05-24','Shipped',NULL,114),\n", + "\n", + "(10126,'2003-05-28','2003-06-07','2003-06-02','Shipped',NULL,458),\n", + "\n", + "(10127,'2003-06-03','2003-06-09','2003-06-06','Shipped','Customer requested special shippment. The instructions were passed along to the warehouse',151),\n", + "\n", + "(10128,'2003-06-06','2003-06-12','2003-06-11','Shipped',NULL,141),\n", + "\n", + "(10129,'2003-06-12','2003-06-18','2003-06-14','Shipped',NULL,324),\n", + "\n", + "(10130,'2003-06-16','2003-06-24','2003-06-21','Shipped',NULL,198),\n", + "\n", + "(10131,'2003-06-16','2003-06-25','2003-06-21','Shipped',NULL,447),\n", + "\n", + "(10132,'2003-06-25','2003-07-01','2003-06-28','Shipped',NULL,323),\n", + "\n", + "(10133,'2003-06-27','2003-07-04','2003-07-03','Shipped',NULL,141),\n", + "\n", + "(10134,'2003-07-01','2003-07-10','2003-07-05','Shipped',NULL,250),\n", + "\n", + "(10135,'2003-07-02','2003-07-12','2003-07-03','Shipped',NULL,124),\n", + "\n", + "(10136,'2003-07-04','2003-07-14','2003-07-06','Shipped','Customer is interested in buying more Ferrari models',242),\n", + "\n", + "(10137,'2003-07-10','2003-07-20','2003-07-14','Shipped',NULL,353),\n", + "\n", + "(10138,'2003-07-07','2003-07-16','2003-07-13','Shipped',NULL,496),\n", + "\n", + "(10139,'2003-07-16','2003-07-23','2003-07-21','Shipped',NULL,282),\n", + "\n", + "(10140,'2003-07-24','2003-08-02','2003-07-30','Shipped',NULL,161),\n", + "\n", + "(10141,'2003-08-01','2003-08-09','2003-08-04','Shipped',NULL,334),\n", + "\n", + "(10142,'2003-08-08','2003-08-16','2003-08-13','Shipped',NULL,124),\n", + "\n", + "(10143,'2003-08-10','2003-08-18','2003-08-12','Shipped','Can we deliver the new Ford Mustang models by end-of-quarter?',320),\n", + "\n", + "(10144,'2003-08-13','2003-08-21','2003-08-14','Shipped',NULL,381),\n", + "\n", + "(10145,'2003-08-25','2003-09-02','2003-08-31','Shipped',NULL,205),\n", + "\n", + "(10146,'2003-09-03','2003-09-13','2003-09-06','Shipped',NULL,447),\n", + "\n", + "(10147,'2003-09-05','2003-09-12','2003-09-09','Shipped',NULL,379),\n", + "\n", + "(10148,'2003-09-11','2003-09-21','2003-09-15','Shipped','They want to reevaluate their terms agreement with Finance.',276),\n", + "\n", + "(10149,'2003-09-12','2003-09-18','2003-09-17','Shipped',NULL,487),\n", + "\n", + "(10150,'2003-09-19','2003-09-27','2003-09-21','Shipped','They want to reevaluate their terms agreement with Finance.',148),\n", + "\n", + "(10151,'2003-09-21','2003-09-30','2003-09-24','Shipped',NULL,311),\n", + "\n", + "(10152,'2003-09-25','2003-10-03','2003-10-01','Shipped',NULL,333),\n", + "\n", + "(10153,'2003-09-28','2003-10-05','2003-10-03','Shipped',NULL,141),\n", + "\n", + "(10154,'2003-10-02','2003-10-12','2003-10-08','Shipped',NULL,219),\n", + "\n", + "(10155,'2003-10-06','2003-10-13','2003-10-07','Shipped',NULL,186),\n", + "\n", + "(10156,'2003-10-08','2003-10-17','2003-10-11','Shipped',NULL,141),\n", + "\n", + "(10157,'2003-10-09','2003-10-15','2003-10-14','Shipped',NULL,473),\n", + "\n", + "(10158,'2003-10-10','2003-10-18','2003-10-15','Shipped',NULL,121),\n", + "\n", + "(10159,'2003-10-10','2003-10-19','2003-10-16','Shipped',NULL,321),\n", + "\n", + "(10160,'2003-10-11','2003-10-17','2003-10-17','Shipped',NULL,347),\n", + "\n", + "(10161,'2003-10-17','2003-10-25','2003-10-20','Shipped',NULL,227),\n", + "\n", + "(10162,'2003-10-18','2003-10-26','2003-10-19','Shipped',NULL,321),\n", + "\n", + "(10163,'2003-10-20','2003-10-27','2003-10-24','Shipped',NULL,424),\n", + "\n", + "(10164,'2003-10-21','2003-10-30','2003-10-23','Resolved','This order was disputed, but resolved on 11/1/2003; Customer doesn\\'t like the colors and precision of the models.',452),\n", + "\n", + "(10165,'2003-10-22','2003-10-31','2003-12-26','Shipped','This order was on hold because customers\\'s credit limit had been exceeded. Order will ship when payment is received',148),\n", + "\n", + "(10166,'2003-10-21','2003-10-30','2003-10-27','Shipped',NULL,462),\n", + "\n", + "(10167,'2003-10-23','2003-10-30',NULL,'Cancelled','Customer called to cancel. The warehouse was notified in time and the order didn\\'t ship. They have a new VP of Sales and are shifting their sales model. Our VP of Sales should contact them.',448),\n", + "\n", + "(10168,'2003-10-28','2003-11-03','2003-11-01','Shipped',NULL,161),\n", + "\n", + "(10169,'2003-11-04','2003-11-14','2003-11-09','Shipped',NULL,276),\n", + "\n", + "(10170,'2003-11-04','2003-11-12','2003-11-07','Shipped',NULL,452),\n", + "\n", + "(10171,'2003-11-05','2003-11-13','2003-11-07','Shipped',NULL,233),\n", + "\n", + "(10172,'2003-11-05','2003-11-14','2003-11-11','Shipped',NULL,175),\n", + "\n", + "(10173,'2003-11-05','2003-11-15','2003-11-09','Shipped','Cautious optimism. We have happy customers here, if we can keep them well stocked. I need all the information I can get on the planned shippments of Porches',278),\n", + "\n", + "(10174,'2003-11-06','2003-11-15','2003-11-10','Shipped',NULL,333),\n", + "\n", + "(10175,'2003-11-06','2003-11-14','2003-11-09','Shipped',NULL,324),\n", + "\n", + "(10176,'2003-11-06','2003-11-15','2003-11-12','Shipped',NULL,386),\n", + "\n", + "(10177,'2003-11-07','2003-11-17','2003-11-12','Shipped',NULL,344),\n", + "\n", + "(10178,'2003-11-08','2003-11-16','2003-11-10','Shipped','Custom shipping instructions sent to warehouse',242),\n", + "\n", + "(10179,'2003-11-11','2003-11-17','2003-11-13','Cancelled','Customer cancelled due to urgent budgeting issues. Must be cautious when dealing with them in the future. Since order shipped already we must discuss who would cover the shipping charges.',496),\n", + "\n", + "(10180,'2003-11-11','2003-11-19','2003-11-14','Shipped',NULL,171),\n", + "\n", + "(10181,'2003-11-12','2003-11-19','2003-11-15','Shipped',NULL,167),\n", + "\n", + "(10182,'2003-11-12','2003-11-21','2003-11-18','Shipped',NULL,124),\n", + "\n", + "(10183,'2003-11-13','2003-11-22','2003-11-15','Shipped','We need to keep in close contact with their Marketing VP. He is the decision maker for all their purchases.',339),\n", + "\n", + "(10184,'2003-11-14','2003-11-22','2003-11-20','Shipped',NULL,484),\n", + "\n", + "(10185,'2003-11-14','2003-11-21','2003-11-20','Shipped',NULL,320),\n", + "\n", + "(10186,'2003-11-14','2003-11-20','2003-11-18','Shipped','They want to reevaluate their terms agreement with the VP of Sales',489),\n", + "\n", + "(10187,'2003-11-15','2003-11-24','2003-11-16','Shipped',NULL,211),\n", + "\n", + "(10188,'2003-11-18','2003-11-26','2003-11-24','Shipped',NULL,167),\n", + "\n", + "(10189,'2003-11-18','2003-11-25','2003-11-24','Shipped','They want to reevaluate their terms agreement with Finance.',205),\n", + "\n", + "(10190,'2003-11-19','2003-11-29','2003-11-20','Shipped',NULL,141),\n", + "\n", + "(10191,'2003-11-20','2003-11-30','2003-11-24','Shipped','We must be cautions with this customer. Their VP of Sales resigned. Company may be heading down.',259),\n", + "\n", + "(10192,'2003-11-20','2003-11-29','2003-11-25','Shipped',NULL,363),\n", + "\n", + "(10193,'2003-11-21','2003-11-28','2003-11-27','Shipped',NULL,471),\n", + "\n", + "(10194,'2003-11-25','2003-12-02','2003-11-26','Shipped',NULL,146),\n", + "\n", + "(10195,'2003-11-25','2003-12-01','2003-11-28','Shipped',NULL,319),\n", + "\n", + "(10196,'2003-11-26','2003-12-03','2003-12-01','Shipped',NULL,455),\n", + "\n", + "(10197,'2003-11-26','2003-12-02','2003-12-01','Shipped','Customer inquired about remote controlled models and gold models.',216),\n", + "\n", + "(10198,'2003-11-27','2003-12-06','2003-12-03','Shipped',NULL,385),\n", + "\n", + "(10199,'2003-12-01','2003-12-10','2003-12-06','Shipped',NULL,475),\n", + "\n", + "(10200,'2003-12-01','2003-12-09','2003-12-06','Shipped',NULL,211),\n", + "\n", + "(10201,'2003-12-01','2003-12-11','2003-12-02','Shipped',NULL,129),\n", + "\n", + "(10202,'2003-12-02','2003-12-09','2003-12-06','Shipped',NULL,357),\n", + "\n", + "(10203,'2003-12-02','2003-12-11','2003-12-07','Shipped',NULL,141),\n", + "\n", + "(10204,'2003-12-02','2003-12-10','2003-12-04','Shipped',NULL,151),\n", + "\n", + "(10205,'2003-12-03','2003-12-09','2003-12-07','Shipped',' I need all the information I can get on our competitors.',141),\n", + "\n", + "(10206,'2003-12-05','2003-12-13','2003-12-08','Shipped','Can we renegotiate this one?',202),\n", + "\n", + "(10207,'2003-12-09','2003-12-17','2003-12-11','Shipped','Check on availability.',495),\n", + "\n", + "(10208,'2004-01-02','2004-01-11','2004-01-04','Shipped',NULL,146),\n", + "\n", + "(10209,'2004-01-09','2004-01-15','2004-01-12','Shipped',NULL,347),\n", + "\n", + "(10210,'2004-01-12','2004-01-22','2004-01-20','Shipped',NULL,177),\n", + "\n", + "(10211,'2004-01-15','2004-01-25','2004-01-18','Shipped',NULL,406),\n", + "\n", + "(10212,'2004-01-16','2004-01-24','2004-01-18','Shipped',NULL,141),\n", + "\n", + "(10213,'2004-01-22','2004-01-28','2004-01-27','Shipped','Difficult to negotiate with customer. We need more marketing materials',489),\n", + "\n", + "(10214,'2004-01-26','2004-02-04','2004-01-29','Shipped',NULL,458),\n", + "\n", + "(10215,'2004-01-29','2004-02-08','2004-02-01','Shipped','Customer requested that FedEx Ground is used for this shipping',475),\n", + "\n", + "(10216,'2004-02-02','2004-02-10','2004-02-04','Shipped',NULL,256),\n", + "\n", + "(10217,'2004-02-04','2004-02-14','2004-02-06','Shipped',NULL,166),\n", + "\n", + "(10218,'2004-02-09','2004-02-16','2004-02-11','Shipped','Customer requested that ad materials (such as posters, pamphlets) be included in the shippment',473),\n", + "\n", + "(10219,'2004-02-10','2004-02-17','2004-02-12','Shipped',NULL,487),\n", + "\n", + "(10220,'2004-02-12','2004-02-19','2004-02-16','Shipped',NULL,189),\n", + "\n", + "(10221,'2004-02-18','2004-02-26','2004-02-19','Shipped',NULL,314),\n", + "\n", + "(10222,'2004-02-19','2004-02-27','2004-02-20','Shipped',NULL,239),\n", + "\n", + "(10223,'2004-02-20','2004-02-29','2004-02-24','Shipped',NULL,114),\n", + "\n", + "(10224,'2004-02-21','2004-03-02','2004-02-26','Shipped','Customer has worked with some of our vendors in the past and is aware of their MSRP',171),\n", + "\n", + "(10225,'2004-02-22','2004-03-01','2004-02-24','Shipped',NULL,298),\n", + "\n", + "(10226,'2004-02-26','2004-03-06','2004-03-02','Shipped',NULL,239),\n", + "\n", + "(10227,'2004-03-02','2004-03-12','2004-03-08','Shipped',NULL,146),\n", + "\n", + "(10228,'2004-03-10','2004-03-18','2004-03-13','Shipped',NULL,173),\n", + "\n", + "(10229,'2004-03-11','2004-03-20','2004-03-12','Shipped',NULL,124),\n", + "\n", + "(10230,'2004-03-15','2004-03-24','2004-03-20','Shipped','Customer very concerned about the exact color of the models. There is high risk that he may dispute the order because there is a slight color mismatch',128),\n", + "\n", + "(10231,'2004-03-19','2004-03-26','2004-03-25','Shipped',NULL,344),\n", + "\n", + "(10232,'2004-03-20','2004-03-30','2004-03-25','Shipped',NULL,240),\n", + "\n", + "(10233,'2004-03-29','2004-04-04','2004-04-02','Shipped','Customer requested special shippment. The instructions were passed along to the warehouse',328),\n", + "\n", + "(10234,'2004-03-30','2004-04-05','2004-04-02','Shipped',NULL,412),\n", + "\n", + "(10235,'2004-04-02','2004-04-12','2004-04-06','Shipped',NULL,260),\n", + "\n", + "(10236,'2004-04-03','2004-04-11','2004-04-08','Shipped',NULL,486),\n", + "\n", + "(10237,'2004-04-05','2004-04-12','2004-04-10','Shipped',NULL,181),\n", + "\n", + "(10238,'2004-04-09','2004-04-16','2004-04-10','Shipped',NULL,145),\n", + "\n", + "(10239,'2004-04-12','2004-04-21','2004-04-17','Shipped',NULL,311),\n", + "\n", + "(10240,'2004-04-13','2004-04-20','2004-04-20','Shipped',NULL,177),\n", + "\n", + "(10241,'2004-04-13','2004-04-20','2004-04-19','Shipped',NULL,209),\n", + "\n", + "(10242,'2004-04-20','2004-04-28','2004-04-25','Shipped','Customer is interested in buying more Ferrari models',456),\n", + "\n", + "(10243,'2004-04-26','2004-05-03','2004-04-28','Shipped',NULL,495),\n", + "\n", + "(10244,'2004-04-29','2004-05-09','2004-05-04','Shipped',NULL,141),\n", + "\n", + "(10245,'2004-05-04','2004-05-12','2004-05-09','Shipped',NULL,455),\n", + "\n", + "(10246,'2004-05-05','2004-05-13','2004-05-06','Shipped',NULL,141),\n", + "\n", + "(10247,'2004-05-05','2004-05-11','2004-05-08','Shipped',NULL,334),\n", + "\n", + "(10248,'2004-05-07','2004-05-14',NULL,'Cancelled','Order was mistakenly placed. The warehouse noticed the lack of documentation.',131),\n", + "\n", + "(10249,'2004-05-08','2004-05-17','2004-05-11','Shipped','Can we deliver the new Ford Mustang models by end-of-quarter?',173),\n", + "\n", + "(10250,'2004-05-11','2004-05-19','2004-05-15','Shipped',NULL,450),\n", + "\n", + "(10251,'2004-05-18','2004-05-24','2004-05-24','Shipped',NULL,328),\n", + "\n", + "(10252,'2004-05-26','2004-06-04','2004-05-29','Shipped',NULL,406),\n", + "\n", + "(10253,'2004-06-01','2004-06-09','2004-06-02','Cancelled','Customer disputed the order and we agreed to cancel it. We must be more cautions with this customer going forward, since they are very hard to please. We must cover the shipping fees.',201),\n", + "\n", + "(10254,'2004-06-03','2004-06-13','2004-06-04','Shipped','Customer requested that DHL is used for this shipping',323),\n", + "\n", + "(10255,'2004-06-04','2004-06-12','2004-06-09','Shipped',NULL,209),\n", + "\n", + "(10256,'2004-06-08','2004-06-16','2004-06-10','Shipped',NULL,145),\n", + "\n", + "(10257,'2004-06-14','2004-06-24','2004-06-15','Shipped',NULL,450),\n", + "\n", + "(10258,'2004-06-15','2004-06-25','2004-06-23','Shipped',NULL,398),\n", + "\n", + "(10259,'2004-06-15','2004-06-22','2004-06-17','Shipped',NULL,166),\n", + "\n", + "(10260,'2004-06-16','2004-06-22',NULL,'Cancelled','Customer heard complaints from their customers and called to cancel this order. Will notify the Sales Manager.',357),\n", + "\n", + "(10261,'2004-06-17','2004-06-25','2004-06-22','Shipped',NULL,233),\n", + "\n", + "(10262,'2004-06-24','2004-07-01',NULL,'Cancelled','This customer found a better offer from one of our competitors. Will call back to renegotiate.',141),\n", + "\n", + "(10263,'2004-06-28','2004-07-04','2004-07-02','Shipped',NULL,175),\n", + "\n", + "(10264,'2004-06-30','2004-07-06','2004-07-01','Shipped','Customer will send a truck to our local warehouse on 7/1/2004',362),\n", + "\n", + "(10265,'2004-07-02','2004-07-09','2004-07-07','Shipped',NULL,471),\n", + "\n", + "(10266,'2004-07-06','2004-07-14','2004-07-10','Shipped',NULL,386),\n", + "\n", + "(10267,'2004-07-07','2004-07-17','2004-07-09','Shipped',NULL,151),\n", + "\n", + "(10268,'2004-07-12','2004-07-18','2004-07-14','Shipped',NULL,412),\n", + "\n", + "(10269,'2004-07-16','2004-07-22','2004-07-18','Shipped',NULL,382),\n", + "\n", + "(10270,'2004-07-19','2004-07-27','2004-07-24','Shipped','Can we renegotiate this one?',282),\n", + "\n", + "(10271,'2004-07-20','2004-07-29','2004-07-23','Shipped',NULL,124),\n", + "\n", + "(10272,'2004-07-20','2004-07-26','2004-07-22','Shipped',NULL,157),\n", + "\n", + "(10273,'2004-07-21','2004-07-28','2004-07-22','Shipped',NULL,314),\n", + "\n", + "(10274,'2004-07-21','2004-07-29','2004-07-22','Shipped',NULL,379),\n", + "\n", + "(10275,'2004-07-23','2004-08-02','2004-07-29','Shipped',NULL,119),\n", + "\n", + "(10276,'2004-08-02','2004-08-11','2004-08-08','Shipped',NULL,204),\n", + "\n", + "(10277,'2004-08-04','2004-08-12','2004-08-05','Shipped',NULL,148),\n", + "\n", + "(10278,'2004-08-06','2004-08-16','2004-08-09','Shipped',NULL,112),\n", + "\n", + "(10279,'2004-08-09','2004-08-19','2004-08-15','Shipped','Cautious optimism. We have happy customers here, if we can keep them well stocked. I need all the information I can get on the planned shippments of Porches',141),\n", + "\n", + "(10280,'2004-08-17','2004-08-27','2004-08-19','Shipped',NULL,249),\n", + "\n", + "(10281,'2004-08-19','2004-08-28','2004-08-23','Shipped',NULL,157),\n", + "\n", + "(10282,'2004-08-20','2004-08-26','2004-08-22','Shipped',NULL,124),\n", + "\n", + "(10283,'2004-08-20','2004-08-30','2004-08-23','Shipped',NULL,260),\n", + "\n", + "(10284,'2004-08-21','2004-08-29','2004-08-26','Shipped','Custom shipping instructions sent to warehouse',299),\n", + "\n", + "(10285,'2004-08-27','2004-09-04','2004-08-31','Shipped',NULL,286),\n", + "\n", + "(10286,'2004-08-28','2004-09-06','2004-09-01','Shipped',NULL,172),\n", + "\n", + "(10287,'2004-08-30','2004-09-06','2004-09-01','Shipped',NULL,298),\n", + "\n", + "(10288,'2004-09-01','2004-09-11','2004-09-05','Shipped',NULL,166),\n", + "\n", + "(10289,'2004-09-03','2004-09-13','2004-09-04','Shipped','We need to keep in close contact with their Marketing VP. He is the decision maker for all their purchases.',167),\n", + "\n", + "(10290,'2004-09-07','2004-09-15','2004-09-13','Shipped',NULL,198),\n", + "\n", + "(10291,'2004-09-08','2004-09-17','2004-09-14','Shipped',NULL,448),\n", + "\n", + "(10292,'2004-09-08','2004-09-18','2004-09-11','Shipped','They want to reevaluate their terms agreement with Finance.',131),\n", + "\n", + "(10293,'2004-09-09','2004-09-18','2004-09-14','Shipped',NULL,249),\n", + "\n", + "(10294,'2004-09-10','2004-09-17','2004-09-14','Shipped',NULL,204),\n", + "\n", + "(10295,'2004-09-10','2004-09-17','2004-09-14','Shipped','They want to reevaluate their terms agreement with Finance.',362),\n", + "\n", + "(10296,'2004-09-15','2004-09-22','2004-09-16','Shipped',NULL,415),\n", + "\n", + "(10297,'2004-09-16','2004-09-22','2004-09-21','Shipped','We must be cautions with this customer. Their VP of Sales resigned. Company may be heading down.',189),\n", + "\n", + "(10298,'2004-09-27','2004-10-05','2004-10-01','Shipped',NULL,103),\n", + "\n", + "(10299,'2004-09-30','2004-10-10','2004-10-01','Shipped',NULL,186),\n", + "\n", + "(10300,'2003-10-04','2003-10-13','2003-10-09','Shipped',NULL,128),\n", + "\n", + "(10301,'2003-10-05','2003-10-15','2003-10-08','Shipped',NULL,299),\n", + "\n", + "(10302,'2003-10-06','2003-10-16','2003-10-07','Shipped',NULL,201),\n", + "\n", + "(10303,'2004-10-06','2004-10-14','2004-10-09','Shipped','Customer inquired about remote controlled models and gold models.',484),\n", + "\n", + "(10304,'2004-10-11','2004-10-20','2004-10-17','Shipped',NULL,256),\n", + "\n", + "(10305,'2004-10-13','2004-10-22','2004-10-15','Shipped','Check on availability.',286),\n", + "\n", + "(10306,'2004-10-14','2004-10-21','2004-10-17','Shipped',NULL,187),\n", + "\n", + "(10307,'2004-10-14','2004-10-23','2004-10-20','Shipped',NULL,339),\n", + "\n", + "(10308,'2004-10-15','2004-10-24','2004-10-20','Shipped','Customer requested that FedEx Ground is used for this shipping',319),\n", + "\n", + "(10309,'2004-10-15','2004-10-24','2004-10-18','Shipped',NULL,121),\n", + "\n", + "(10310,'2004-10-16','2004-10-24','2004-10-18','Shipped',NULL,259),\n", + "\n", + "(10311,'2004-10-16','2004-10-23','2004-10-20','Shipped','Difficult to negotiate with customer. We need more marketing materials',141),\n", + "\n", + "(10312,'2004-10-21','2004-10-27','2004-10-23','Shipped',NULL,124),\n", + "\n", + "(10313,'2004-10-22','2004-10-28','2004-10-25','Shipped','Customer requested that FedEx Ground is used for this shipping',202),\n", + "\n", + "(10314,'2004-10-22','2004-11-01','2004-10-23','Shipped',NULL,227),\n", + "\n", + "(10315,'2004-10-29','2004-11-08','2004-10-30','Shipped',NULL,119),\n", + "\n", + "(10316,'2004-11-01','2004-11-09','2004-11-07','Shipped','Customer requested that ad materials (such as posters, pamphlets) be included in the shippment',240),\n", + "\n", + "(10317,'2004-11-02','2004-11-12','2004-11-08','Shipped',NULL,161),\n", + "\n", + "(10318,'2004-11-02','2004-11-09','2004-11-07','Shipped',NULL,157),\n", + "\n", + "(10319,'2004-11-03','2004-11-11','2004-11-06','Shipped','Customer requested that DHL is used for this shipping',456),\n", + "\n", + "(10320,'2004-11-03','2004-11-13','2004-11-07','Shipped',NULL,144),\n", + "\n", + "(10321,'2004-11-04','2004-11-12','2004-11-07','Shipped',NULL,462),\n", + "\n", + "(10322,'2004-11-04','2004-11-12','2004-11-10','Shipped','Customer has worked with some of our vendors in the past and is aware of their MSRP',363),\n", + "\n", + "(10323,'2004-11-05','2004-11-12','2004-11-09','Shipped',NULL,128),\n", + "\n", + "(10324,'2004-11-05','2004-11-11','2004-11-08','Shipped',NULL,181),\n", + "\n", + "(10325,'2004-11-05','2004-11-13','2004-11-08','Shipped',NULL,121),\n", + "\n", + "(10326,'2004-11-09','2004-11-16','2004-11-10','Shipped',NULL,144),\n", + "\n", + "(10327,'2004-11-10','2004-11-19','2004-11-13','Resolved','Order was disputed and resolved on 12/1/04. The Sales Manager was involved. Customer claims the scales of the models don\\'t match what was discussed.',145),\n", + "\n", + "(10328,'2004-11-12','2004-11-21','2004-11-18','Shipped','Customer very concerned about the exact color of the models. There is high risk that he may dispute the order because there is a slight color mismatch',278),\n", + "\n", + "(10329,'2004-11-15','2004-11-24','2004-11-16','Shipped',NULL,131),\n", + "\n", + "(10330,'2004-11-16','2004-11-25','2004-11-21','Shipped',NULL,385),\n", + "\n", + "(10331,'2004-11-17','2004-11-23','2004-11-23','Shipped','Customer requested special shippment. The instructions were passed along to the warehouse',486),\n", + "\n", + "(10332,'2004-11-17','2004-11-25','2004-11-18','Shipped',NULL,187),\n", + "\n", + "(10333,'2004-11-18','2004-11-27','2004-11-20','Shipped',NULL,129),\n", + "\n", + "(10334,'2004-11-19','2004-11-28',NULL,'On Hold','The outstaniding balance for this customer exceeds their credit limit. Order will be shipped when a payment is received.',144),\n", + "\n", + "(10335,'2004-11-19','2004-11-29','2004-11-23','Shipped',NULL,124),\n", + "\n", + "(10336,'2004-11-20','2004-11-26','2004-11-24','Shipped','Customer requested that DHL is used for this shipping',172),\n", + "\n", + "(10337,'2004-11-21','2004-11-30','2004-11-26','Shipped',NULL,424),\n", + "\n", + "(10338,'2004-11-22','2004-12-02','2004-11-27','Shipped',NULL,381),\n", + "\n", + "(10339,'2004-11-23','2004-11-30','2004-11-30','Shipped',NULL,398),\n", + "\n", + "(10340,'2004-11-24','2004-12-01','2004-11-25','Shipped','Customer is interested in buying more Ferrari models',216),\n", + "\n", + "(10341,'2004-11-24','2004-12-01','2004-11-29','Shipped',NULL,382),\n", + "\n", + "(10342,'2004-11-24','2004-12-01','2004-11-29','Shipped',NULL,114),\n", + "\n", + "(10343,'2004-11-24','2004-12-01','2004-11-26','Shipped',NULL,353),\n", + "\n", + "(10344,'2004-11-25','2004-12-02','2004-11-29','Shipped',NULL,350),\n", + "\n", + "(10345,'2004-11-25','2004-12-01','2004-11-26','Shipped',NULL,103),\n", + "\n", + "(10346,'2004-11-29','2004-12-05','2004-11-30','Shipped',NULL,112),\n", + "\n", + "(10347,'2004-11-29','2004-12-07','2004-11-30','Shipped','Can we deliver the new Ford Mustang models by end-of-quarter?',114),\n", + "\n", + "(10348,'2004-11-01','2004-11-08','2004-11-05','Shipped',NULL,458),\n", + "\n", + "(10349,'2004-12-01','2004-12-07','2004-12-03','Shipped',NULL,151),\n", + "\n", + "(10350,'2004-12-02','2004-12-08','2004-12-05','Shipped',NULL,141),\n", + "\n", + "(10351,'2004-12-03','2004-12-11','2004-12-07','Shipped',NULL,324),\n", + "\n", + "(10352,'2004-12-03','2004-12-12','2004-12-09','Shipped',NULL,198),\n", + "\n", + "(10353,'2004-12-04','2004-12-11','2004-12-05','Shipped',NULL,447),\n", + "\n", + "(10354,'2004-12-04','2004-12-10','2004-12-05','Shipped',NULL,323),\n", + "\n", + "(10355,'2004-12-07','2004-12-14','2004-12-13','Shipped',NULL,141),\n", + "\n", + "(10356,'2004-12-09','2004-12-15','2004-12-12','Shipped',NULL,250),\n", + "\n", + "(10357,'2004-12-10','2004-12-16','2004-12-14','Shipped',NULL,124),\n", + "\n", + "(10358,'2004-12-10','2004-12-16','2004-12-16','Shipped','Customer requested that DHL is used for this shipping',141),\n", + "\n", + "(10359,'2004-12-15','2004-12-23','2004-12-18','Shipped',NULL,353),\n", + "\n", + "(10360,'2004-12-16','2004-12-22','2004-12-18','Shipped',NULL,496),\n", + "\n", + "(10361,'2004-12-17','2004-12-24','2004-12-20','Shipped',NULL,282),\n", + "\n", + "(10362,'2005-01-05','2005-01-16','2005-01-10','Shipped',NULL,161),\n", + "\n", + "(10363,'2005-01-06','2005-01-12','2005-01-10','Shipped',NULL,334),\n", + "\n", + "(10364,'2005-01-06','2005-01-17','2005-01-09','Shipped',NULL,350),\n", + "\n", + "(10365,'2005-01-07','2005-01-18','2005-01-11','Shipped',NULL,320),\n", + "\n", + "(10366,'2005-01-10','2005-01-19','2005-01-12','Shipped',NULL,381),\n", + "\n", + "(10367,'2005-01-12','2005-01-21','2005-01-16','Resolved','This order was disputed and resolved on 2/1/2005. Customer claimed that container with shipment was damaged. FedEx\\'s investigation proved this wrong.',205),\n", + "\n", + "(10368,'2005-01-19','2005-01-27','2005-01-24','Shipped','Can we renegotiate this one?',124),\n", + "\n", + "(10369,'2005-01-20','2005-01-28','2005-01-24','Shipped',NULL,379),\n", + "\n", + "(10370,'2005-01-20','2005-02-01','2005-01-25','Shipped',NULL,276),\n", + "\n", + "(10371,'2005-01-23','2005-02-03','2005-01-25','Shipped',NULL,124),\n", + "\n", + "(10372,'2005-01-26','2005-02-05','2005-01-28','Shipped',NULL,398),\n", + "\n", + "(10373,'2005-01-31','2005-02-08','2005-02-06','Shipped',NULL,311),\n", + "\n", + "(10374,'2005-02-02','2005-02-09','2005-02-03','Shipped',NULL,333),\n", + "\n", + "(10375,'2005-02-03','2005-02-10','2005-02-06','Shipped',NULL,119),\n", + "\n", + "(10376,'2005-02-08','2005-02-18','2005-02-13','Shipped',NULL,219),\n", + "\n", + "(10377,'2005-02-09','2005-02-21','2005-02-12','Shipped','Cautious optimism. We have happy customers here, if we can keep them well stocked. I need all the information I can get on the planned shippments of Porches',186),\n", + "\n", + "(10378,'2005-02-10','2005-02-18','2005-02-11','Shipped',NULL,141),\n", + "\n", + "(10379,'2005-02-10','2005-02-18','2005-02-11','Shipped',NULL,141),\n", + "\n", + "(10380,'2005-02-16','2005-02-24','2005-02-18','Shipped',NULL,141),\n", + "\n", + "(10381,'2005-02-17','2005-02-25','2005-02-18','Shipped',NULL,321),\n", + "\n", + "(10382,'2005-02-17','2005-02-23','2005-02-18','Shipped','Custom shipping instructions sent to warehouse',124),\n", + "\n", + "(10383,'2005-02-22','2005-03-02','2005-02-25','Shipped',NULL,141),\n", + "\n", + "(10384,'2005-02-23','2005-03-06','2005-02-27','Shipped',NULL,321),\n", + "\n", + "(10385,'2005-02-28','2005-03-09','2005-03-01','Shipped',NULL,124),\n", + "\n", + "(10386,'2005-03-01','2005-03-09','2005-03-06','Resolved','Disputed then Resolved on 3/15/2005. Customer doesn\\'t like the craftsmaship of the models.',141),\n", + "\n", + "(10387,'2005-03-02','2005-03-09','2005-03-06','Shipped','We need to keep in close contact with their Marketing VP. He is the decision maker for all their purchases.',148),\n", + "\n", + "(10388,'2005-03-03','2005-03-11','2005-03-09','Shipped',NULL,462),\n", + "\n", + "(10389,'2005-03-03','2005-03-09','2005-03-08','Shipped',NULL,448),\n", + "\n", + "(10390,'2005-03-04','2005-03-11','2005-03-07','Shipped','They want to reevaluate their terms agreement with Finance.',124),\n", + "\n", + "(10391,'2005-03-09','2005-03-20','2005-03-15','Shipped',NULL,276),\n", + "\n", + "(10392,'2005-03-10','2005-03-18','2005-03-12','Shipped',NULL,452),\n", + "\n", + "(10393,'2005-03-11','2005-03-22','2005-03-14','Shipped','They want to reevaluate their terms agreement with Finance.',323),\n", + "\n", + "(10394,'2005-03-15','2005-03-25','2005-03-19','Shipped',NULL,141),\n", + "\n", + "(10395,'2005-03-17','2005-03-24','2005-03-23','Shipped','We must be cautions with this customer. Their VP of Sales resigned. Company may be heading down.',250),\n", + "\n", + "(10396,'2005-03-23','2005-04-02','2005-03-28','Shipped',NULL,124),\n", + "\n", + "(10397,'2005-03-28','2005-04-09','2005-04-01','Shipped',NULL,242),\n", + "\n", + "(10398,'2005-03-30','2005-04-09','2005-03-31','Shipped',NULL,353),\n", + "\n", + "(10399,'2005-04-01','2005-04-12','2005-04-03','Shipped',NULL,496),\n", + "\n", + "(10400,'2005-04-01','2005-04-11','2005-04-04','Shipped','Customer requested that DHL is used for this shipping',450),\n", + "\n", + "(10401,'2005-04-03','2005-04-14',NULL,'On Hold','Customer credit limit exceeded. Will ship when a payment is received.',328),\n", + "\n", + "(10402,'2005-04-07','2005-04-14','2005-04-12','Shipped',NULL,406),\n", + "\n", + "(10403,'2005-04-08','2005-04-18','2005-04-11','Shipped',NULL,201),\n", + "\n", + "(10404,'2005-04-08','2005-04-14','2005-04-11','Shipped',NULL,323),\n", + "\n", + "(10405,'2005-04-14','2005-04-24','2005-04-20','Shipped',NULL,209),\n", + "\n", + "(10406,'2005-04-15','2005-04-25','2005-04-21','Disputed','Customer claims container with shipment was damaged during shipping and some items were missing. I am talking to FedEx about this.',145),\n", + "\n", + "(10407,'2005-04-22','2005-05-04',NULL,'On Hold','Customer credit limit exceeded. Will ship when a payment is received.',450),\n", + "\n", + "(10408,'2005-04-22','2005-04-29','2005-04-27','Shipped',NULL,398),\n", + "\n", + "(10409,'2005-04-23','2005-05-05','2005-04-24','Shipped',NULL,166),\n", + "\n", + "(10410,'2005-04-29','2005-05-10','2005-04-30','Shipped',NULL,357),\n", + "\n", + "(10411,'2005-05-01','2005-05-08','2005-05-06','Shipped',NULL,233),\n", + "\n", + "(10412,'2005-05-03','2005-05-13','2005-05-05','Shipped',NULL,141),\n", + "\n", + "(10413,'2005-05-05','2005-05-14','2005-05-09','Shipped','Customer requested that DHL is used for this shipping',175),\n", + "\n", + "(10414,'2005-05-06','2005-05-13',NULL,'On Hold','Customer credit limit exceeded. Will ship when a payment is received.',362),\n", + "\n", + "(10415,'2005-05-09','2005-05-20','2005-05-12','Disputed','Customer claims the scales of the models don\\'t match what was discussed. I keep all the paperwork though to prove otherwise',471),\n", + "\n", + "(10416,'2005-05-10','2005-05-16','2005-05-14','Shipped',NULL,386),\n", + "\n", + "(10417,'2005-05-13','2005-05-19','2005-05-19','Disputed','Customer doesn\\'t like the colors and precision of the models.',141),\n", + "\n", + "(10418,'2005-05-16','2005-05-24','2005-05-20','Shipped',NULL,412),\n", + "\n", + "(10419,'2005-05-17','2005-05-28','2005-05-19','Shipped',NULL,382),\n", + "\n", + "(10420,'2005-05-29','2005-06-07',NULL,'In Process',NULL,282),\n", + "\n", + "(10421,'2005-05-29','2005-06-06',NULL,'In Process','Custom shipping instructions were sent to warehouse',124),\n", + "\n", + "(10422,'2005-05-30','2005-06-11',NULL,'In Process',NULL,157),\n", + "\n", + "(10423,'2005-05-30','2005-06-05',NULL,'In Process',NULL,314),\n", + "\n", + "(10424,'2005-05-31','2005-06-08',NULL,'In Process',NULL,141),\n", + "\n", + "(10425,'2005-05-31','2005-06-07',NULL,'In Process',NULL,119);\n", + "\n", + "\n", + "/*Data for the table `orderdetails` */\n", + "\n", + "insert into `orderdetails`(`orderNumber`,`productCode`,`quantityOrdered`,`priceEach`,`orderLineNumber`) values \n", + "\n", + "(10100,'S18_1749',30,'136.00',3),\n", + "\n", + "(10100,'S18_2248',50,'55.09',2),\n", + "\n", + "(10100,'S18_4409',22,'75.46',4),\n", + "\n", + "(10100,'S24_3969',49,'35.29',1),\n", + "\n", + "(10101,'S18_2325',25,'108.06',4),\n", + "\n", + "(10101,'S18_2795',26,'167.06',1),\n", + "\n", + "(10101,'S24_1937',45,'32.53',3),\n", + "\n", + "(10101,'S24_2022',46,'44.35',2),\n", + "\n", + "(10102,'S18_1342',39,'95.55',2),\n", + "\n", + "(10102,'S18_1367',41,'43.13',1),\n", + "\n", + "(10103,'S10_1949',26,'214.30',11),\n", + "\n", + "(10103,'S10_4962',42,'119.67',4),\n", + "\n", + "(10103,'S12_1666',27,'121.64',8),\n", + "\n", + "(10103,'S18_1097',35,'94.50',10),\n", + "\n", + "(10103,'S18_2432',22,'58.34',2),\n", + "\n", + "(10103,'S18_2949',27,'92.19',12),\n", + "\n", + "(10103,'S18_2957',35,'61.84',14),\n", + "\n", + "(10103,'S18_3136',25,'86.92',13),\n", + "\n", + "(10103,'S18_3320',46,'86.31',16),\n", + "\n", + "(10103,'S18_4600',36,'98.07',5),\n", + "\n", + "(10103,'S18_4668',41,'40.75',9),\n", + "\n", + "(10103,'S24_2300',36,'107.34',1),\n", + "\n", + "(10103,'S24_4258',25,'88.62',15),\n", + "\n", + "(10103,'S32_1268',31,'92.46',3),\n", + "\n", + "(10103,'S32_3522',45,'63.35',7),\n", + "\n", + "(10103,'S700_2824',42,'94.07',6),\n", + "\n", + "(10104,'S12_3148',34,'131.44',1),\n", + "\n", + "(10104,'S12_4473',41,'111.39',9),\n", + "\n", + "(10104,'S18_2238',24,'135.90',8),\n", + "\n", + "(10104,'S18_2319',29,'122.73',12),\n", + "\n", + "(10104,'S18_3232',23,'165.95',13),\n", + "\n", + "(10104,'S18_4027',38,'119.20',3),\n", + "\n", + "(10104,'S24_1444',35,'52.02',6),\n", + "\n", + "(10104,'S24_2840',44,'30.41',10),\n", + "\n", + "(10104,'S24_4048',26,'106.45',5),\n", + "\n", + "(10104,'S32_2509',35,'51.95',11),\n", + "\n", + "(10104,'S32_3207',49,'56.55',4),\n", + "\n", + "(10104,'S50_1392',33,'114.59',7),\n", + "\n", + "(10104,'S50_1514',32,'53.31',2),\n", + "\n", + "(10105,'S10_4757',50,'127.84',2),\n", + "\n", + "(10105,'S12_1108',41,'205.72',15),\n", + "\n", + "(10105,'S12_3891',29,'141.88',14),\n", + "\n", + "(10105,'S18_3140',22,'136.59',11),\n", + "\n", + "(10105,'S18_3259',38,'87.73',13),\n", + "\n", + "(10105,'S18_4522',41,'75.48',10),\n", + "\n", + "(10105,'S24_2011',43,'117.97',9),\n", + "\n", + "(10105,'S24_3151',44,'73.46',4),\n", + "\n", + "(10105,'S24_3816',50,'75.47',1),\n", + "\n", + "(10105,'S700_1138',41,'54.00',5),\n", + "\n", + "(10105,'S700_1938',29,'86.61',12),\n", + "\n", + "(10105,'S700_2610',31,'60.72',3),\n", + "\n", + "(10105,'S700_3505',39,'92.16',6),\n", + "\n", + "(10105,'S700_3962',22,'99.31',7),\n", + "\n", + "(10105,'S72_3212',25,'44.77',8),\n", + "\n", + "(10106,'S18_1662',36,'134.04',12),\n", + "\n", + "(10106,'S18_2581',34,'81.10',2),\n", + "\n", + "(10106,'S18_3029',41,'80.86',18),\n", + "\n", + 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"(10414,'S18_4522',56,'83.38',11),\n", + "\n", + "(10414,'S24_2011',43,'108.14',10),\n", + "\n", + "(10414,'S24_3151',60,'72.58',5),\n", + "\n", + "(10414,'S24_3816',51,'72.96',2),\n", + "\n", + "(10414,'S700_1138',37,'62.00',6),\n", + "\n", + "(10414,'S700_1938',34,'74.48',13),\n", + "\n", + "(10414,'S700_2610',31,'61.44',4),\n", + "\n", + "(10414,'S700_3505',28,'84.14',7),\n", + "\n", + "(10414,'S700_3962',40,'84.41',8),\n", + "\n", + "(10414,'S72_3212',47,'54.60',9),\n", + "\n", + "(10415,'S18_3856',51,'86.81',5),\n", + "\n", + "(10415,'S24_2841',21,'60.97',1),\n", + "\n", + "(10415,'S24_3420',18,'59.83',2),\n", + "\n", + "(10415,'S700_2047',32,'73.32',4),\n", + "\n", + "(10415,'S72_1253',42,'43.20',3),\n", + "\n", + "(10416,'S18_1662',24,'129.31',14),\n", + "\n", + "(10416,'S18_2581',15,'70.96',4),\n", + "\n", + "(10416,'S24_1785',47,'90.82',6),\n", + "\n", + "(10416,'S24_2000',32,'62.46',1),\n", + "\n", + "(10416,'S24_3949',18,'64.83',13),\n", + "\n", + "(10416,'S24_4278',48,'70.28',5),\n", + "\n", + "(10416,'S32_1374',45,'86.90',2),\n", + "\n", + "(10416,'S32_4289',26,'68.10',7),\n", + "\n", + "(10416,'S50_1341',37,'39.71',8),\n", + "\n", + "(10416,'S700_1691',23,'88.60',9),\n", + "\n", + "(10416,'S700_2466',22,'84.76',11),\n", + "\n", + "(10416,'S700_2834',41,'98.48',3),\n", + "\n", + "(10416,'S700_3167',39,'65.60',10),\n", + "\n", + "(10416,'S700_4002',43,'63.67',12),\n", + "\n", + "(10417,'S10_1678',66,'79.43',2),\n", + "\n", + "(10417,'S10_2016',45,'116.56',5),\n", + "\n", + "(10417,'S10_4698',56,'162.67',4),\n", + "\n", + "(10417,'S12_2823',21,'144.60',1),\n", + "\n", + "(10417,'S18_2625',36,'58.75',6),\n", + "\n", + "(10417,'S24_1578',35,'109.32',3),\n", + "\n", + "(10418,'S18_3278',16,'70.76',2),\n", + "\n", + "(10418,'S18_3482',27,'139.64',1),\n", + "\n", + "(10418,'S18_3782',33,'56.57',5),\n", + "\n", + "(10418,'S18_4721',28,'120.53',4),\n", + "\n", + "(10418,'S24_2360',52,'64.41',8),\n", + "\n", + "(10418,'S24_4620',10,'66.29',3),\n", + "\n", + "(10418,'S32_2206',43,'36.61',6),\n", + "\n", + "(10418,'S32_4485',50,'100.01',9),\n", + "\n", + "(10418,'S50_4713',40,'72.41',7),\n", + "\n", + "(10419,'S12_1099',12,'182.90',13),\n", + "\n", + "(10419,'S12_3380',10,'111.57',11),\n", + "\n", + "(10419,'S12_3990',34,'64.64',14),\n", + "\n", + "(10419,'S12_4675',32,'99.04',10),\n", + "\n", + "(10419,'S18_1129',38,'117.48',5),\n", + "\n", + "(10419,'S18_1589',37,'100.80',1),\n", + "\n", + "(10419,'S18_1889',39,'67.76',9),\n", + "\n", + "(10419,'S18_1984',34,'133.72',4),\n", + "\n", + "(10419,'S18_2870',55,'116.16',2),\n", + "\n", + "(10419,'S18_3232',35,'165.95',6),\n", + "\n", + "(10419,'S18_3685',43,'114.44',3),\n", + "\n", + "(10419,'S24_2972',15,'32.10',7),\n", + "\n", + "(10419,'S24_3371',55,'52.66',12),\n", + "\n", + "(10419,'S24_3856',70,'112.34',8),\n", + "\n", + "(10420,'S18_1749',37,'153.00',5),\n", + "\n", + "(10420,'S18_2248',36,'52.06',4),\n", + "\n", + "(10420,'S18_2325',45,'116.96',2),\n", + "\n", + "(10420,'S18_4409',66,'73.62',6),\n", + "\n", + "(10420,'S18_4933',36,'68.42',7),\n", + "\n", + "(10420,'S24_1046',60,'60.26',11),\n", + "\n", + "(10420,'S24_1628',37,'48.80',13),\n", + "\n", + "(10420,'S24_1937',45,'32.19',1),\n", + "\n", + "(10420,'S24_2766',39,'76.33',9),\n", + "\n", + "(10420,'S24_2887',55,'115.09',8),\n", + "\n", + "(10420,'S24_3191',35,'77.05',10),\n", + "\n", + "(10420,'S24_3432',26,'104.94',12),\n", + "\n", + "(10420,'S24_3969',15,'35.29',3),\n", + "\n", + "(10421,'S18_2795',35,'167.06',1),\n", + "\n", + "(10421,'S24_2022',40,'44.80',2),\n", + "\n", + "(10422,'S18_1342',51,'91.44',2),\n", + "\n", + "(10422,'S18_1367',25,'47.44',1),\n", + "\n", + "(10423,'S18_2949',10,'89.15',1),\n", + "\n", + "(10423,'S18_2957',31,'56.21',3),\n", + "\n", + "(10423,'S18_3136',21,'98.44',2),\n", + "\n", + "(10423,'S18_3320',21,'80.36',5),\n", + "\n", + "(10423,'S24_4258',28,'78.89',4),\n", + "\n", + "(10424,'S10_1949',50,'201.44',6),\n", + "\n", + "(10424,'S12_1666',49,'121.64',3),\n", + "\n", + "(10424,'S18_1097',54,'108.50',5),\n", + "\n", + "(10424,'S18_4668',26,'40.25',4),\n", + "\n", + "(10424,'S32_3522',44,'54.94',2),\n", + "\n", + "(10424,'S700_2824',46,'85.98',1),\n", + "\n", + "(10425,'S10_4962',38,'131.49',12),\n", + "\n", + "(10425,'S12_4473',33,'95.99',4),\n", + "\n", + "(10425,'S18_2238',28,'147.36',3),\n", + "\n", + "(10425,'S18_2319',38,'117.82',7),\n", + "\n", + "(10425,'S18_2432',19,'48.62',10),\n", + "\n", + "(10425,'S18_3232',28,'140.55',8),\n", + "\n", + "(10425,'S18_4600',38,'107.76',13),\n", + "\n", + "(10425,'S24_1444',55,'53.75',1),\n", + "\n", + "(10425,'S24_2300',49,'127.79',9),\n", + "\n", + "(10425,'S24_2840',31,'31.82',5),\n", + "\n", + "(10425,'S32_1268',41,'83.79',11),\n", + "\n", + "(10425,'S32_2509',11,'50.32',6),\n", + "\n", + "(10425,'S50_1392',18,'94.92',2);\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "/*Data for the table `payments` */\n", + "\n", + "insert into `payments`(`customerNumber`,`checkNumber`,`paymentDate`,`amount`) values \n", + "\n", + "(103,'HQ336336','2004-10-19','6066.78'),\n", + "\n", + "(103,'JM555205','2003-06-05','14571.44'),\n", + "\n", + "(103,'OM314933','2004-12-18','1676.14'),\n", + "\n", + "(112,'BO864823','2004-12-17','14191.12'),\n", + "\n", + "(112,'HQ55022','2003-06-06','32641.98'),\n", + "\n", + "(112,'ND748579','2004-08-20','33347.88'),\n", + "\n", + "(114,'GG31455','2003-05-20','45864.03'),\n", + "\n", + "(114,'MA765515','2004-12-15','82261.22'),\n", + "\n", + "(114,'NP603840','2003-05-31','7565.08'),\n", + "\n", + "(114,'NR27552','2004-03-10','44894.74'),\n", + "\n", + "(119,'DB933704','2004-11-14','19501.82'),\n", + "\n", + "(119,'LN373447','2004-08-08','47924.19'),\n", + "\n", + "(119,'NG94694','2005-02-22','49523.67'),\n", + "\n", + "(121,'DB889831','2003-02-16','50218.95'),\n", + "\n", + "(121,'FD317790','2003-10-28','1491.38'),\n", + "\n", + "(121,'KI831359','2004-11-04','17876.32'),\n", + "\n", + "(121,'MA302151','2004-11-28','34638.14'),\n", + "\n", + "(124,'AE215433','2005-03-05','101244.59'),\n", + "\n", + "(124,'BG255406','2004-08-28','85410.87'),\n", + "\n", + "(124,'CQ287967','2003-04-11','11044.30'),\n", + "\n", + "(124,'ET64396','2005-04-16','83598.04'),\n", + "\n", + "(124,'HI366474','2004-12-27','47142.70'),\n", + "\n", + "(124,'HR86578','2004-11-02','55639.66'),\n", + "\n", + "(124,'KI131716','2003-08-15','111654.40'),\n", + "\n", + "(124,'LF217299','2004-03-26','43369.30'),\n", + "\n", + "(124,'NT141748','2003-11-25','45084.38'),\n", + "\n", + "(128,'DI925118','2003-01-28','10549.01'),\n", + "\n", + "(128,'FA465482','2003-10-18','24101.81'),\n", + "\n", + "(128,'FH668230','2004-03-24','33820.62'),\n", + "\n", + "(128,'IP383901','2004-11-18','7466.32'),\n", + "\n", + "(129,'DM826140','2004-12-08','26248.78'),\n", + "\n", + "(129,'ID449593','2003-12-11','23923.93'),\n", + "\n", + "(129,'PI42991','2003-04-09','16537.85'),\n", + "\n", + "(131,'CL442705','2003-03-12','22292.62'),\n", + "\n", + "(131,'MA724562','2004-12-02','50025.35'),\n", + "\n", + "(131,'NB445135','2004-09-11','35321.97'),\n", + "\n", + "(141,'AU364101','2003-07-19','36251.03'),\n", + "\n", + "(141,'DB583216','2004-11-01','36140.38'),\n", + "\n", + "(141,'DL460618','2005-05-19','46895.48'),\n", + "\n", + "(141,'HJ32686','2004-01-30','59830.55'),\n", + "\n", + "(141,'ID10962','2004-12-31','116208.40'),\n", + "\n", + "(141,'IN446258','2005-03-25','65071.26'),\n", + "\n", + "(141,'JE105477','2005-03-18','120166.58'),\n", + "\n", + "(141,'JN355280','2003-10-26','49539.37'),\n", + "\n", + "(141,'JN722010','2003-02-25','40206.20'),\n", + "\n", + "(141,'KT52578','2003-12-09','63843.55'),\n", + "\n", + "(141,'MC46946','2004-07-09','35420.74'),\n", + "\n", + "(141,'MF629602','2004-08-16','20009.53'),\n", + "\n", + "(141,'NU627706','2004-05-17','26155.91'),\n", + "\n", + "(144,'IR846303','2004-12-12','36005.71'),\n", + "\n", + "(144,'LA685678','2003-04-09','7674.94'),\n", + "\n", + "(145,'CN328545','2004-07-03','4710.73'),\n", + "\n", + "(145,'ED39322','2004-04-26','28211.70'),\n", + "\n", + "(145,'HR182688','2004-12-01','20564.86'),\n", + "\n", + "(145,'JJ246391','2003-02-20','53959.21'),\n", + "\n", + "(146,'FP549817','2004-03-18','40978.53'),\n", + "\n", + "(146,'FU793410','2004-01-16','49614.72'),\n", + "\n", + "(146,'LJ160635','2003-12-10','39712.10'),\n", + "\n", + "(148,'BI507030','2003-04-22','44380.15'),\n", + "\n", + "(148,'DD635282','2004-08-11','2611.84'),\n", + "\n", + "(148,'KM172879','2003-12-26','105743.00'),\n", + "\n", + "(148,'ME497970','2005-03-27','3516.04'),\n", + "\n", + "(151,'BF686658','2003-12-22','58793.53'),\n", + "\n", + "(151,'GB852215','2004-07-26','20314.44'),\n", + "\n", + "(151,'IP568906','2003-06-18','58841.35'),\n", + "\n", + "(151,'KI884577','2004-12-14','39964.63'),\n", + "\n", + "(157,'HI618861','2004-11-19','35152.12'),\n", + "\n", + "(157,'NN711988','2004-09-07','63357.13'),\n", + "\n", + "(161,'BR352384','2004-11-14','2434.25'),\n", + "\n", + "(161,'BR478494','2003-11-18','50743.65'),\n", + "\n", + "(161,'KG644125','2005-02-02','12692.19'),\n", + "\n", + "(161,'NI908214','2003-08-05','38675.13'),\n", + "\n", + "(166,'BQ327613','2004-09-16','38785.48'),\n", + "\n", + "(166,'DC979307','2004-07-07','44160.92'),\n", + "\n", + "(166,'LA318629','2004-02-28','22474.17'),\n", + "\n", + "(167,'ED743615','2004-09-19','12538.01'),\n", + "\n", + "(167,'GN228846','2003-12-03','85024.46'),\n", + "\n", + "(171,'GB878038','2004-03-15','18997.89'),\n", + "\n", + "(171,'IL104425','2003-11-22','42783.81'),\n", + "\n", + "(172,'AD832091','2004-09-09','1960.80'),\n", + "\n", + "(172,'CE51751','2004-12-04','51209.58'),\n", + "\n", + "(172,'EH208589','2003-04-20','33383.14'),\n", + "\n", + "(173,'GP545698','2004-05-13','11843.45'),\n", + "\n", + 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"(496,'EU531600','2005-05-25','30253.75'),\n", + "\n", + "(496,'MB342426','2003-07-16','32077.44'),\n", + "\n", + "(496,'MN89921','2004-12-31','52166.00');\n", + "\n", + "\n", + "\n", + "\n", + "/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;\n", + "/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From ab8a134ed9356e4878de4557a86aa3fab1de6995 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 24 Oct 2023 11:40:21 +0000 Subject: [PATCH 21/33] add 006-Joins-HW --- db-course/006-Joins-HW.ipynb | 496 +++++++++++++++++++++++++++++++++++ 1 file changed, 496 insertions(+) create mode 100644 db-course/006-Joins-HW.ipynb diff --git a/db-course/006-Joins-HW.ipynb b/db-course/006-Joins-HW.ipynb new file mode 100644 index 0000000..aad07eb --- /dev/null +++ b/db-course/006-Joins-HW.ipynb @@ -0,0 +1,496 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj\n", + "\n", + "schema = dj.Schema('classicsales')\n", + "schema.spawn_missing_classes()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "6\n", + "\n", + "6\n", + "\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "6->Report\n", + "\n", + "\n", + "\n", + "\n", + "7\n", + "\n", + "7\n", + "\n", + "\n", + "\n", + "Customers\n", + "\n", + "\n", + "Customers\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "7->Customers\n", + "\n", + "\n", + "\n", + "\n", + "Products\n", + "\n", + "\n", + "Products\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Orderdetails\n", + "\n", + "\n", + "Orderdetails\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Products->Orderdetails\n", + "\n", + "\n", + "\n", + "\n", + "Productlines\n", + "\n", + "\n", + "Productlines\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Productlines->Products\n", + "\n", + "\n", + "\n", + "\n", + "Payments\n", + "\n", + "\n", + "Payments\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Orders\n", + "\n", + "\n", + "Orders\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Orders->Orderdetails\n", + "\n", + "\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employees\n", + "\n", + "\n", + "Employees\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Office->Employees\n", + "\n", + "\n", + "\n", + "\n", + "Employees->6\n", + "\n", + "\n", + "\n", + "\n", + "Employees->7\n", + "\n", + "\n", + "\n", + "\n", + "Customers->Payments\n", + "\n", + "\n", + "\n", + "\n", + "Customers->Orders\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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103Atelier graphiqueSchmittCarine 40.32.255554, rue RoyaleNoneNantesNone44000France137021000.00
112Signal Gift StoresKingJean70255518388489 Strong St.NoneLas VegasNV83030USA116671800.00
114Australian Collectors, Co.FergusonPeter03 9520 4555636 St Kilda RoadLevel 3MelbourneVictoria3004Australia1611117300.00
119La Rochelle GiftsLabruneJanine 40.67.855567, rue des Cinquante OtagesNoneNantesNone44000France1370118200.00
121Baane Mini ImportsBergulfsenJonas 07-98 9555Erling Skakkes gate 78NoneStavernNone4110Norway150481700.00
124Mini Gifts Distributors Ltd.NelsonSusan41555514505677 Strong St.NoneSan RafaelCA97562USA1165210500.00
125Havel & Zbyszek CoPiestrzeniewiczZbyszek (26) 642-7555ul. Filtrowa 68NoneWarszawaNone01-012PolandNone0.00
128Blauer See Auto, Co.KeitelRoland+49 69 66 90 2555Lyonerstr. 34NoneFrankfurtNone60528Germany150459700.00
129Mini Wheels Co.MurphyJulie65055557875557 North Pendale StreetNoneSan FranciscoCA94217USA116564600.00
131Land of Toys Inc.LeeKwai2125557818897 Long Airport AvenueNoneNYCNY10022USA1323114900.00
141Euro+ Shopping ChannelFreyreDiego (91) 555 94 44C/ Moralzarzal, 86NoneMadridNone28034Spain1370227600.00
144Volvo Model Replicas, CoBerglundChristina 0921-12 3555Berguvsvägen 8NoneLuleåNoneS-958 22Sweden150453100.00
\n", + "

...

\n", + "

Total: 122

\n", + " " + ], + "text/plain": [ + "*customerNumbe customerName contactLastNam contactFirstNa phone postal_line1 postal_line2 city state postal_code country salesRepEmploy creditLimit \n", + "+------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+ +-----------+ +------------+ +------------+\n", + "103 Atelier graphi Schmitt Carine 40.32.2555 54, rue Royale None Nantes None 44000 France 1370 21000.00 \n", + "112 Signal Gift St King Jean 7025551838 8489 Strong St None Las Vegas NV 83030 USA 1166 71800.00 \n", + "114 Australian Col Ferguson Peter 03 9520 4555 636 St Kilda R Level 3 Melbourne Victoria 3004 Australia 1611 117300.00 \n", + "119 La Rochelle Gi Labrune Janine 40.67.8555 67, rue des Ci None Nantes None 44000 France 1370 118200.00 \n", + "121 Baane Mini Imp Bergulfsen Jonas 07-98 9555 Erling Skakkes None Stavern None 4110 Norway 1504 81700.00 \n", + "124 Mini Gifts Dis Nelson Susan 4155551450 5677 Strong St None San Rafael CA 97562 USA 1165 210500.00 \n", + "125 Havel & Zbysze Piestrzeniewic Zbyszek (26) 642-7555 ul. Filtrowa 6 None Warszawa None 01-012 Poland None 0.00 \n", + "128 Blauer See Aut Keitel Roland +49 69 66 90 2 Lyonerstr. 34 None Frankfurt None 60528 Germany 1504 59700.00 \n", + "129 Mini Wheels Co Murphy Julie 6505555787 5557 North Pen None San Francisco CA 94217 USA 1165 64600.00 \n", + "131 Land of Toys I Lee Kwai 2125557818 897 Long Airpo None NYC NY 10022 USA 1323 114900.00 \n", + "141 Euro+ Shopping Freyre Diego (91) 555 94 44 C/ Moralzarzal None Madrid None 28034 Spain 1370 227600.00 \n", + "144 Volvo Model Re Berglund Christina 0921-12 3555 Berguvsvägen None Luleå None S-958 22 Sweden 1504 53100.00 \n", + " ...\n", + " (Total: 122)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Customers()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 726530f1990b0b669dce91e5ffb6286db66a7cdb Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 24 Oct 2023 15:06:54 +0000 Subject: [PATCH 22/33] Add Nations Database --- db-course/004-DatabaseNations.ipynb | 428 +++++++++++++ ...pleSales.ipynb => 004-DatabaseSales.ipynb} | 210 +++--- db-course/006-Joins-HW.ipynb | 601 +++++++----------- db-course/006-JoinsSQL.ipynb | 4 +- 4 files changed, 763 insertions(+), 480 deletions(-) create mode 100644 db-course/004-DatabaseNations.ipynb rename db-course/{006-SampleSales.ipynb => 004-DatabaseSales.ipynb} (97%) diff --git a/db-course/004-DatabaseNations.ipynb b/db-course/004-DatabaseNations.ipynb new file mode 100644 index 0000000..a884713 --- /dev/null +++ b/db-course/004-DatabaseNations.ipynb @@ -0,0 +1,428 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://www.mariadbtutorial.com/getting-started/mariadb-sample-database/" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "0 rows affected.\n", + "1 rows affected.\n", + "0 rows 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*/;\n", + "/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;\n", + "/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;\n", + "/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;\n", + "\n", + "--\n", + "-- Current Database: `nation`\n", + "--\n", + "\n", + "CREATE DATABASE /*!32312 IF NOT EXISTS*/ `nation` /*!40100 DEFAULT CHARACTER SET utf8 */;\n", + "\n", + "USE `nation`;\n", + "\n", + "--\n", + "-- Table structure for table `continents`\n", + "--\n", + "\n", + "DROP TABLE IF EXISTS `continents`;\n", + "/*!40101 SET @saved_cs_client = @@character_set_client */;\n", + " SET character_set_client = utf8mb4 ;\n", + "CREATE TABLE `continents` (\n", + " `continent_id` int(11) NOT NULL AUTO_INCREMENT,\n", + " `name` varchar(255) NOT NULL,\n", + " PRIMARY KEY (`continent_id`)\n", + ") ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `continents`\n", + "--\n", + "\n", + "LOCK TABLES `continents` WRITE;\n", + "/*!40000 ALTER TABLE `continents` DISABLE KEYS */;\n", + "INSERT INTO `continents` VALUES (1,'North America'),(2,'Asia'),(3,'Africa'),(4,'Europe'),(5,'South America'),(6,'Oceania'),(7,'Antarctica');\n", + "/*!40000 ALTER TABLE `continents` ENABLE KEYS */;\n", + "UNLOCK TABLES;\n", + "\n", + "--\n", + "-- Table structure for table `countries`\n", + "--\n", + "\n", + "DROP TABLE IF EXISTS `countries`;\n", + "/*!40101 SET @saved_cs_client = @@character_set_client */;\n", + " SET character_set_client = utf8mb4 ;\n", + "CREATE TABLE `countries` (\n", + " `country_id` int(11) NOT NULL AUTO_INCREMENT,\n", + " `name` varchar(50) DEFAULT NULL,\n", + " `area` decimal(10,2) NOT NULL,\n", + " `national_day` date DEFAULT NULL,\n", + " `country_code2` char(2) NOT NULL,\n", + " `country_code3` char(3) NOT NULL,\n", + " `region_id` int(11) NOT NULL,\n", + " PRIMARY KEY (`country_id`),\n", + " UNIQUE KEY `country_code2` (`country_code2`),\n", + " UNIQUE KEY `country_code3` (`country_code3`),\n", + " KEY `region_id` (`region_id`),\n", + " CONSTRAINT `countries_ibfk_1` FOREIGN KEY (`region_id`) REFERENCES `regions` (`region_id`)\n", + ") ENGINE=InnoDB AUTO_INCREMENT=240 DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `countries`\n", + "--\n", + "\n", + "LOCK TABLES `countries` WRITE;\n", + "/*!40000 ALTER TABLE `countries` DISABLE KEYS */;\n", + "INSERT INTO `countries` VALUES (1,'Aruba',193.00,NULL,'AW','ABW',1),(2,'Afghanistan',652090.00,'1919-08-19','AF','AFG',2),(3,'Angola',1246700.00,'1975-11-11','AO','AGO',3),(4,'Anguilla',96.00,'1967-05-30','AI','AIA',1),(5,'Albania',28748.00,'1912-11-28','AL','ALB',4),(6,'Andorra',468.00,NULL,'AD','AND',4),(7,'Netherlands Antilles',800.00,NULL,'AN','ANT',1),(8,'United Arab 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PRIMARY KEY (`country_id`,`language_id`),\n", + " KEY `language_id` (`language_id`),\n", + " CONSTRAINT `country_languages_ibfk_1` FOREIGN KEY (`country_id`) REFERENCES `countries` (`country_id`),\n", + " CONSTRAINT `country_languages_ibfk_2` FOREIGN KEY (`language_id`) REFERENCES `languages` (`language_id`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `country_languages`\n", + "--\n", + "\n", + "LOCK TABLES `country_languages` WRITE;\n", + "/*!40000 ALTER TABLE `country_languages` DISABLE KEYS */;\n", + "INSERT INTO `country_languages` VALUES 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+ "/*!40000 ALTER TABLE `country_languages` ENABLE KEYS */;\n", + "UNLOCK TABLES;\n", + "\n", + "--\n", + "-- Table structure for table `country_stats`\n", + "--\n", + "\n", + "DROP TABLE IF EXISTS `country_stats`;\n", + "/*!40101 SET @saved_cs_client = @@character_set_client */;\n", + " SET character_set_client = utf8mb4 ;\n", + "CREATE TABLE `country_stats` (\n", + " `country_id` int(11) NOT NULL,\n", + " `year` int(11) NOT NULL,\n", + " `population` int(11) DEFAULT NULL,\n", + " `gdp` decimal(15,0) DEFAULT NULL,\n", + " PRIMARY KEY (`country_id`,`year`),\n", + " CONSTRAINT `country_stats_ibfk_1` FOREIGN KEY (`country_id`) REFERENCES `countries` (`country_id`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `country_stats`\n", + "--\n", + "\n", + "LOCK TABLES `country_stats` WRITE;\n", + "/*!40000 ALTER TABLE `country_stats` DISABLE KEYS */;\n", + "INSERT INTO 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+ "/*!40000 ALTER TABLE `country_stats` ENABLE KEYS */;\n", + "UNLOCK TABLES;\n", + "\n", + "--\n", + "-- Table structure for table `guests`\n", + "--\n", + "\n", + "DROP TABLE IF EXISTS `guests`;\n", + "/*!40101 SET @saved_cs_client = @@character_set_client */;\n", + " SET character_set_client = utf8mb4 ;\n", + "CREATE TABLE `guests` (\n", + " `guest_id` int(11) NOT NULL,\n", + " `name` varchar(100) NOT NULL,\n", + " PRIMARY KEY (`guest_id`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `guests`\n", + "--\n", + "\n", + "LOCK TABLES `guests` WRITE;\n", + "/*!40000 ALTER TABLE `guests` DISABLE KEYS */;\n", + "INSERT INTO `guests` VALUES (1,'John'),(2,'Jane'),(3,'Jean'),(4,'Storm'),(5,'Beast');\n", + "/*!40000 ALTER TABLE `guests` ENABLE KEYS */;\n", + "UNLOCK TABLES;\n", + "\n", + "--\n", + "-- Table structure for table `languages`\n", + "--\n", + "\n", + "DROP TABLE IF EXISTS `languages`;\n", + "/*!40101 SET @saved_cs_client = @@character_set_client */;\n", + " SET character_set_client = utf8mb4 ;\n", + "CREATE TABLE `languages` (\n", + " `language_id` int(11) NOT NULL AUTO_INCREMENT,\n", + " `language` varchar(50) NOT NULL,\n", + " PRIMARY KEY (`language_id`)\n", + ") ENGINE=InnoDB AUTO_INCREMENT=458 DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `languages`\n", + "--\n", + "\n", + "LOCK TABLES `languages` WRITE;\n", + "/*!40000 ALTER TABLE `languages` DISABLE KEYS */;\n", + "INSERT INTO `languages` VALUES 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`region_area` decimal(15,2) NOT NULL,\n", + " PRIMARY KEY (`region_name`)\n", + ") ENGINE=InnoDB DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `region_areas`\n", + "--\n", + "\n", + "LOCK TABLES `region_areas` WRITE;\n", + "/*!40000 ALTER TABLE `region_areas` DISABLE KEYS */;\n", + "INSERT INTO `region_areas` VALUES ('Antarctica',13132101.00),('Australia and New Zealand',8011939.00),('Baltic Countries',175117.00),('British Islands',313173.00),('Caribbean',234423.00),('Central Africa',6612667.00),('Central America',2479532.00),('Eastern Africa',6299891.00),('Eastern Asia',11774482.00),('Eastern Europe',18814094.00),('Melanesia',540774.00),('Micronesia',3102.00),('Micronesia/Caribbean',16.00),('Middle East',4820592.00),('Nordic Countries',1321901.00),('North America',21500515.00),('Northern Africa',8524703.00),('Polynesia',8463.00),('South America',17864926.00),('Southeast Asia',4494801.00),('Southern Africa',2674778.00),('Southern and Central Asia',10791130.00),('Southern Europe',1316392.40),('Western Africa',6138338.00),('Western Europe',1108456.50);\n", + "/*!40000 ALTER TABLE `region_areas` ENABLE KEYS */;\n", + "UNLOCK TABLES;\n", + "\n", + "--\n", + "-- Table structure for table `regions`\n", + "--\n", + "\n", + "DROP TABLE IF EXISTS `regions`;\n", + "/*!40101 SET @saved_cs_client = @@character_set_client */;\n", + " SET character_set_client = utf8mb4 ;\n", + "CREATE TABLE `regions` (\n", + " `region_id` int(11) NOT NULL AUTO_INCREMENT,\n", + " `name` varchar(100) NOT NULL,\n", + " `continent_id` int(11) NOT NULL,\n", + " PRIMARY KEY (`region_id`),\n", + " KEY `continent_id` (`continent_id`),\n", + " CONSTRAINT `regions_ibfk_1` FOREIGN KEY (`continent_id`) REFERENCES `continents` (`continent_id`)\n", + ") ENGINE=InnoDB AUTO_INCREMENT=26 DEFAULT CHARSET=utf8;\n", + "/*!40101 SET character_set_client = @saved_cs_client */;\n", + "\n", + "--\n", + "-- Dumping data for table `regions`\n", + "--\n", + "\n", + "LOCK TABLES `regions` WRITE;\n", + "/*!40000 ALTER TABLE `regions` DISABLE KEYS */;\n", + "INSERT INTO `regions` VALUES (1,'Caribbean',1),(2,'Southern and Central Asia',2),(3,'Central Africa',3),(4,'Southern Europe',4),(5,'Middle East',2),(6,'South America',5),(7,'Polynesia',6),(8,'Antarctica',7),(9,'Australia and New Zealand',6),(10,'Western Europe',4),(11,'Eastern Africa',3),(12,'Western Africa',3),(13,'Eastern Europe',4),(14,'Central America',1),(15,'North America',1),(16,'Southeast Asia',2),(17,'Southern Africa',3),(18,'Eastern Asia',2),(19,'Nordic Countries',4),(20,'Northern Africa',3),(21,'Baltic Countries',4),(22,'Melanesia',6),(23,'Micronesia',6),(24,'British Islands',4),(25,'Micronesia/Caribbean',6);\n", + "/*!40000 ALTER TABLE `regions` ENABLE KEYS */;\n", + "UNLOCK TABLES;\n", + "\n", + "/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;\n", + "\n", + "/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;\n", + "/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;\n", + "/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;\n", + "/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;\n", + "/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;\n", + "/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;\n", + "/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;\n", + "\n", + "-- Dump completed on 2019-10-18 11:48:19\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/006-SampleSales.ipynb b/db-course/004-DatabaseSales.ipynb similarity index 97% rename from db-course/006-SampleSales.ipynb rename to db-course/004-DatabaseSales.ipynb index 422a35a..24eefd6 100644 --- a/db-course/006-SampleSales.ipynb +++ b/db-course/004-DatabaseSales.ipynb @@ -2,30 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The sql extension is already loaded. To reload it, use:\n", - " %reload_ext sql\n" - ] - } - ], + "outputs": [], "source": [ "import pymysql\n", "pymysql.install_as_MySQLdb()\n", "\n", "%load_ext sql\n", "%config SqlMagic.autocommit=True\n", - "%sql mysql://root:simple@127.0.0.1\n" + "%sql mysql://root:simple@127.0.0.1" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -33,10 +24,6 @@ "output_type": "stream", "text": [ " * mysql://root:***@127.0.0.1\n", - "0 rows affected.\n", - "0 rows affected.\n", - "0 rows affected.\n", - "0 rows affected.\n", "9 rows affected.\n", "1 rows affected.\n", "0 rows affected.\n", @@ -57,9 +44,7 @@ "110 rows affected.\n", "326 rows affected.\n", "2996 rows affected.\n", - "273 rows affected.\n", - "0 rows affected.\n", - "0 rows affected.\n" + "273 rows affected.\n" ] }, { @@ -68,7 +53,7 @@ "[]" ] }, - "execution_count": 20, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -94,135 +79,128 @@ "*/\n", "\n", "\n", - "/*!40101 SET NAMES utf8 */;\n", - "/*!40101 SET SQL_MODE=''*/;\n", - "/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;\n", - "/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;\n", - "\n", "DROP DATABASE IF EXISTS `classicsales`;\n", "CREATE DATABASE `classicsales` DEFAULT CHARACTER SET latin1;\n", "\n", "USE `classicsales`;\n", "\n", "\n", - "\n", - "\n", - "CREATE TABLE `offices` (\n", - " `officeCode` varchar(10) NOT NULL,\n", + "CREATE TABLE `office` (\n", + " `office_code` varchar(10) NOT NULL,\n", " `city` varchar(50) NOT NULL,\n", " `phone` varchar(50) NOT NULL,\n", - " `addressLine1` varchar(50) NOT NULL,\n", - " `addressLine2` varchar(50) DEFAULT NULL,\n", + " `postal_line1` varchar(50) NOT NULL,\n", + " `postal_line2` varchar(50) DEFAULT NULL,\n", " `state` varchar(50) DEFAULT NULL,\n", " `country` varchar(50) NOT NULL,\n", - " `postalCode` varchar(15) NOT NULL,\n", + " `postal_code` varchar(15) NOT NULL,\n", " `territory` varchar(10) NOT NULL,\n", - " PRIMARY KEY (`officeCode`)\n", + " PRIMARY KEY (`office_code`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", - "CREATE TABLE `productlines` (\n", - " `productLine` varchar(50) NOT NULL,\n", + "CREATE TABLE `product_line` (\n", + " `product_line` varchar(50) NOT NULL,\n", " `textDescription` varchar(4000) DEFAULT NULL,\n", " `htmlDescription` mediumtext,\n", " `image` mediumblob,\n", - " PRIMARY KEY (`productLine`)\n", + " PRIMARY KEY (`product_line`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", - "CREATE TABLE `employees` (\n", - " `employeeNumber` int(11) NOT NULL,\n", - " `lastName` varchar(50) NOT NULL,\n", - " `firstName` varchar(50) NOT NULL,\n", + "CREATE TABLE `employee` (\n", + " `employee_number` int(11) NOT NULL,\n", + " `last_name` varchar(50) NOT NULL,\n", + " `first_name` varchar(50) NOT NULL,\n", " `extension` varchar(10) NOT NULL,\n", " `email` varchar(100) NOT NULL,\n", - " `officeCode` varchar(10) NOT NULL,\n", - " `jobTitle` varchar(50) NOT NULL,\n", - " PRIMARY KEY (`employeeNumber`),\n", - " CONSTRAINT `employees_ibfk_2` FOREIGN KEY (`officeCode`) REFERENCES `offices` (`officeCode`)\n", + " `office_code` varchar(10) NOT NULL,\n", + " `job_title` varchar(50) NOT NULL,\n", + " PRIMARY KEY (`employee_number`),\n", + " CONSTRAINT `employees_ibfk_2` FOREIGN KEY (`office_code`) REFERENCES `office` (`office_code`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", "CREATE TABLE `report` (\n", - " `employeeNumber` int(11) NOT NULL,\n", - " `reportsTo` int(11) NOT NULL,\n", - " PRIMARY KEY (`employeeNumber`),\n", - " FOREIGN KEY (`reportsTo`) REFERENCES `employees` (`employeeNumber`)\n", + " `employee_number` int(11) NOT NULL,\n", + " `reports_to` int(11) NOT NULL,\n", + " PRIMARY KEY (`employee_number`),\n", + " FOREIGN KEY (`reports_to`) REFERENCES `employee` (`employee_number`)\n", ");\n", "\n", "\n", - "CREATE TABLE `customers` (\n", - " `customerNumber` int(11) NOT NULL,\n", - " `customerName` varchar(50) NOT NULL,\n", - " `contactLastName` varchar(50) NOT NULL,\n", - " `contactFirstName` varchar(50) NOT NULL,\n", + "CREATE TABLE `customer` (\n", + " `customer_number` int(11) NOT NULL,\n", + " `customer_name` varchar(50) NOT NULL,\n", + " `contact_last_name` varchar(50) NOT NULL,\n", + " `contact_first_name` varchar(50) NOT NULL,\n", " `phone` varchar(50) NOT NULL,\n", - " `addressLine1` varchar(50) NOT NULL,\n", - " `addressLine2` varchar(50) DEFAULT NULL,\n", + " `postal_line1` varchar(50) NOT NULL,\n", + " `postal_line2` varchar(50) DEFAULT NULL,\n", " `city` varchar(50) NOT NULL,\n", " `state` varchar(50) DEFAULT NULL,\n", - " `postalCode` varchar(15) DEFAULT NULL,\n", + " `postal_code` varchar(15) DEFAULT NULL,\n", " `country` varchar(50) NOT NULL,\n", - " `salesRepEmployeeNumber` int(11) DEFAULT NULL,\n", - " `creditLimit` decimal(10,2) DEFAULT NULL,\n", - " PRIMARY KEY (`customerNumber`),\n", - " FOREIGN KEY (`salesRepEmployeeNumber`) REFERENCES `employees` (`employeeNumber`)\n", + " `sales_rep` int(11) DEFAULT NULL,\n", + " `credit_limit` decimal(10,2) DEFAULT NULL,\n", + " PRIMARY KEY (`customer_number`),\n", + " FOREIGN KEY (`sales_rep`) REFERENCES `employee` (`employee_number`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", - "CREATE TABLE `products` (\n", - " `productCode` varchar(15) NOT NULL,\n", - " `productName` varchar(70) NOT NULL,\n", - " `productLine` varchar(50) NOT NULL,\n", - " `productScale` varchar(10) NOT NULL,\n", - " `productVendor` varchar(50) NOT NULL,\n", - " `productDescription` text NOT NULL,\n", - " `quantityInStock` smallint(6) NOT NULL,\n", - " `buyPrice` decimal(10,2) NOT NULL,\n", + "CREATE TABLE `product` (\n", + " `product_code` varchar(15) NOT NULL,\n", + " `product_name` varchar(70) NOT NULL,\n", + " `product_line` varchar(50) NOT NULL,\n", + " `product_scale` varchar(10) NOT NULL,\n", + " `vendor` varchar(50) NOT NULL,\n", + " `product_description` text NOT NULL,\n", + " `quantity_in_stock` smallint(6) NOT NULL,\n", + " `buy_price` decimal(10,2) NOT NULL,\n", " `MSRP` decimal(10,2) NOT NULL,\n", - " PRIMARY KEY (`productCode`),\n", - " FOREIGN KEY (`productLine`) REFERENCES `productlines` (`productLine`)\n", + " PRIMARY KEY (`product_code`),\n", + " FOREIGN KEY (`product_line`) REFERENCES `product_line` (`product_line`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", - "CREATE TABLE `orders` (\n", - " `orderNumber` int(11) NOT NULL,\n", - " `orderDate` date NOT NULL,\n", - " `requiredDate` date NOT NULL,\n", - " `shippedDate` date DEFAULT NULL,\n", + "CREATE TABLE `order` (\n", + " `order_number` int(11) NOT NULL,\n", + " `order_date` date NOT NULL,\n", + " `required_date` date NOT NULL,\n", + " `shipped_date` date DEFAULT NULL,\n", " `status` varchar(15) NOT NULL,\n", " `comments` text,\n", - " `customerNumber` int(11) NOT NULL,\n", - " PRIMARY KEY (`orderNumber`),\n", - " FOREIGN KEY (`customerNumber`) REFERENCES `customers` (`customerNumber`)\n", + " `customer_number` int(11) NOT NULL,\n", + " PRIMARY KEY (`order_number`),\n", + " FOREIGN KEY (`customer_number`) REFERENCES `customer` (`customer_number`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", - "CREATE TABLE `orderdetails` (\n", - " `orderNumber` int(11) NOT NULL,\n", - " `productCode` varchar(15) NOT NULL,\n", - " `quantityOrdered` int(11) NOT NULL,\n", - " `priceEach` decimal(10,2) NOT NULL,\n", - " `orderLineNumber` smallint(6) NOT NULL,\n", - " PRIMARY KEY (`orderNumber`,`productCode`),\n", - " FOREIGN KEY (`orderNumber`) REFERENCES `orders` (`orderNumber`),\n", - " FOREIGN KEY (`productCode`) REFERENCES `products` (`productCode`)\n", + "CREATE TABLE `order__item` (\n", + " `order_number` int(11) NOT NULL,\n", + " `product_code` varchar(15) NOT NULL,\n", + " `quantity` int(11) NOT NULL,\n", + " `price` decimal(10,2) NOT NULL,\n", + " `order_line_number` smallint(6) NOT NULL,\n", + " PRIMARY KEY (`order_number`,`product_code`),\n", + " FOREIGN KEY (`order_number`) REFERENCES `order` (`order_number`),\n", + " FOREIGN KEY (`product_code`) REFERENCES `product` (`product_code`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", - "CREATE TABLE `payments` (\n", - " `customerNumber` int(11) NOT NULL,\n", - " `checkNumber` varchar(50) NOT NULL,\n", - " `paymentDate` date NOT NULL,\n", + "CREATE TABLE `payment` (\n", + " `customer_number` int(11) NOT NULL,\n", + " `check_number` varchar(50) NOT NULL,\n", + " `payment_date` date NOT NULL,\n", " `amount` decimal(10,2) NOT NULL,\n", - " PRIMARY KEY (`customerNumber`, `checkNumber`),\n", - " FOREIGN KEY (`customerNumber`) REFERENCES `customers` (`customerNumber`)\n", + " PRIMARY KEY (`customer_number`, `check_number`),\n", + " FOREIGN KEY (`customer_number`) REFERENCES `customer` (`customer_number`)\n", ") ENGINE=InnoDB DEFAULT CHARSET=latin1;\n", "\n", "\n", "\n", - "/*Data for the table `offices` */\n", - "insert into `offices`(`officeCode`,`city`,`phone`,`addressLine1`,`addressLine2`,`state`,`country`,`postalCode`,`territory`) values \n", + "/*Data for the table `office` */\n", + "insert into `office`(`office_code`,`city`,`phone`,`postal_line1`,`postal_line2`,`state`,`country`,`postal_code`,`territory`) values \n", "('1','San Francisco','+1 650 219 4782','100 Market Street','Suite 300','CA','USA','94080','NA'),\n", "('2','Boston','+1 215 837 0825','1550 Court Place','Suite 102','MA','USA','02107','NA'),\n", "('3','NYC','+1 212 555 3000','523 East 53rd Street','apt. 5A','NY','USA','10022','NA'),\n", @@ -233,8 +211,8 @@ "\n", "\n", "\n", - "/*Data for the table `employees` */\n", - "insert into `employees`(`employeeNumber`,`lastName`,`firstName`,`extension`,`email`,`officeCode`,`jobTitle`) values \n", + "/*Data for the table `employee` */\n", + "insert into `employee`(`employee_number`,`last_name`,`first_name`,`extension`,`email`,`office_code`,`job_title`) values \n", "(1002,'Murphy','Diane','x5800','dmurphy@classicmodelcars.com','1','President'),\n", "(1056,'Patterson','Mary','x4611','mpatterso@classicmodelcars.com','1','VP Sales'),\n", "(1076,'Firrelli','Jeff','x9273','jfirrelli@classicmodelcars.com','1','VP Marketing'),\n", @@ -259,7 +237,7 @@ "(1625,'Kato','Yoshimi','x102','ykato@classicmodelcars.com','5','Sales Rep'),\n", "(1702,'Gerard','Martin','x2312','mgerard@classicmodelcars.com','4','Sales Rep');\n", "\n", - "insert into `report`(`employeeNumber`,`reportsTo`) values \n", + "insert into `report`(`employee_number`,`reports_to`) values \n", "(1056, 1002),\n", "(1076, 1002),\n", "(1088, 1056),\n", @@ -284,8 +262,8 @@ "(1702, 1102);\n", "\n", "\n", - "/*Data for the table `customers` */\n", - "insert into `customers`(`customerNumber`,`customerName`,`contactLastName`,`contactFirstName`,`phone`,`addressLine1`,`addressLine2`,`city`,`state`,`postalCode`,`country`,`salesRepEmployeeNumber`,`creditLimit`) values \n", + "/*Data for the table `customer` */\n", + "insert into `customer` (`customer_number`,`customer_name`,`contact_last_name`,`contact_first_name`,`phone`,`postal_line1`,`postal_line2`,`city`,`state`,`postal_code`,`country`,`sales_rep`,`credit_limit`) values \n", "(103,'Atelier graphique','Schmitt','Carine ','40.32.2555','54, rue Royale',NULL,'Nantes',NULL,'44000','France',1370,'21000.00'),\n", "(112,'Signal Gift Stores','King','Jean','7025551838','8489 Strong St.',NULL,'Las Vegas','NV','83030','USA',1166,'71800.00'),\n", "(114,'Australian Collectors, Co.','Ferguson','Peter','03 9520 4555','636 St Kilda Road','Level 3','Melbourne','Victoria','3004','Australia',1611,'117300.00'),\n", @@ -410,9 +388,9 @@ "(496,'Kelly\\'s Gift Shop','Snowden','Tony','+64 9 5555500','Arenales 1938 3\\'A\\'',NULL,'Auckland ',NULL,NULL,'New Zealand',1612,'110000.00');\n", "\n", "\n", - "/*Data for the table `productlines` */\n", + "/*Data for the table `product_line` */\n", "\n", - "insert into `productlines`(`productLine`,`textDescription`,`htmlDescription`,`image`) values \n", + "insert into `product_line`(`product_line`,`textDescription`,`htmlDescription`,`image`) values \n", "\n", "('Classic Cars','Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb attention to detail and craftsmanship and offer features such as working steering system, opening forward compartment, opening rear trunk with removable spare wheel, 4-wheel independent spring suspension, and so on. The models range in size from 1:10 to 1:24 scale and include numerous limited edition and several out-of-production vehicles. All models include a certificate of authenticity from their manufacturers and come fully assembled and ready for display in the home or office.',NULL,NULL),\n", "\n", @@ -429,9 +407,9 @@ "('Vintage Cars','Our Vintage Car models realistically portray automobiles produced from the early 1900s through the 1940s. Materials used include Bakelite, diecast, plastic and wood. Most of the replicas are in the 1:18 and 1:24 scale sizes, which provide the optimum in detail and accuracy. Prices range from $30.00 up to $180.00 for some special limited edition replicas. All models include a certificate of authenticity from their manufacturers and come fully assembled and ready for display in the home or office.',NULL,NULL);\n", "\n", "\n", - "/*Data for the table `products` */\n", + "/*Data for the table `product` */\n", "\n", - "insert into `products`(`productCode`,`productName`,`productLine`,`productScale`,`productVendor`,`productDescription`,`quantityInStock`,`buyPrice`,`MSRP`) values \n", + "insert into `product`(`product_code`,`product_name`,`product_line`,`product_scale`,`vendor`,`product_description`,`quantity_in_stock`,`buy_price`,`MSRP`) values \n", "\n", "('S10_1678','1969 Harley Davidson Ultimate Chopper','Motorcycles','1:10','Min Lin Diecast','This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention.',7933,'48.81','95.70'),\n", "\n", @@ -653,8 +631,8 @@ "\n", "('S72_3212','Pont Yacht','Ships','1:72','Unimax Art Galleries','Measures 38 inches Long x 33 3/4 inches High. Includes a stand.\\r\\nMany extras including rigging, long boats, pilot house, anchors, etc. Comes with 2 masts, all square-rigged',414,'33.30','54.60');\n", "\n", - "/*Data for the table `orders` */\n", - "insert into `orders`(`orderNumber`,`orderDate`,`requiredDate`,`shippedDate`,`status`,`comments`,`customerNumber`) values \n", + "/*Data for the table `order` */\n", + "insert into `order`(`order_number`,`order_date`,`required_date`,`shipped_date`,`status`,`comments`,`customer_number`) values \n", "\n", "(10100,'2003-01-06','2003-01-13','2003-01-10','Shipped',NULL,363),\n", "\n", @@ -1309,9 +1287,9 @@ "(10425,'2005-05-31','2005-06-07',NULL,'In Process',NULL,119);\n", "\n", "\n", - "/*Data for the table `orderdetails` */\n", + "/*Data for the table `order__item` */\n", "\n", - "insert into `orderdetails`(`orderNumber`,`productCode`,`quantityOrdered`,`priceEach`,`orderLineNumber`) values \n", + "insert into `order__item`(`order_Number`,`product_code`,`quantity`,`price`,`order_line_number`) values \n", "\n", "(10100,'S18_1749',30,'136.00',3),\n", "\n", @@ -7309,9 +7287,9 @@ "\n", "\n", "\n", - "/*Data for the table `payments` */\n", + "/*Data for the table `payment` */\n", "\n", - "insert into `payments`(`customerNumber`,`checkNumber`,`paymentDate`,`amount`) values \n", + "insert into `payment`(`customer_number`,`check_number`,`payment_date`,`amount`) values \n", "\n", "(103,'HQ336336','2004-10-19','6066.78'),\n", "\n", @@ -7857,13 +7835,7 @@ "\n", "(496,'MB342426','2003-07-16','32077.44'),\n", "\n", - "(496,'MN89921','2004-12-31','52166.00');\n", - "\n", - "\n", - "\n", - "\n", - "/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;\n", - "/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;\n" + "(496,'MN89921','2004-12-31','52166.00');" ] }, { diff --git a/db-course/006-Joins-HW.ipynb b/db-course/006-Joins-HW.ipynb index aad07eb..4126b46 100644 --- a/db-course/006-Joins-HW.ipynb +++ b/db-course/006-Joins-HW.ipynb @@ -2,466 +2,347 @@ "cells": [ { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-24 14:45:37,414][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-24 14:45:37,422][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "\n", - "schema = dj.Schema('classicsales')\n", - "schema.spawn_missing_classes()" + "sales = dj.Schema('classicsales')\n", + "sales.spawn_missing_classes()\n", + "\n", + "nations = dj.Schema('nation')\n", + "nations.spawn_missing_classes()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "6\n", - "\n", - "6\n", + "0\n", + "\n", + "0\n", "\n", - "\n", - "\n", - "Report\n", - "\n", - "\n", - "Report\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "Customer\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "6->Report\n", - "\n", + "0->Customer\n", + "\n", "\n", - "\n", + "\n", "\n", - "7\n", - "\n", - "7\n", + "1\n", + "\n", + "1\n", "\n", - "\n", - "\n", - "Customers\n", - "\n", - "\n", - "Customers\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "7->Customers\n", - "\n", + "1->Report\n", + "\n", "\n", - "\n", + "\n", "\n", - "Products\n", - "\n", - "\n", - "Products\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", "\n", "\n", "\n", - "\n", - "\n", - "Orderdetails\n", - "\n", - "\n", - "Orderdetails\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "Product\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Products->Orderdetails\n", - "\n", + "ProductLine->Product\n", + "\n", "\n", - "\n", - "\n", - "Productlines\n", - "\n", - "\n", - "Productlines\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Productlines->Products\n", - "\n", + "Product->Order.Item\n", + "\n", "\n", - "\n", + "\n", "\n", - "Payments\n", - "\n", - "\n", - "Payments\n", + "Payment\n", + "\n", + "\n", + "Payment\n", "\n", "\n", "\n", - "\n", - "\n", - "Orders\n", - "\n", - "\n", - "Orders\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Orders->Orderdetails\n", - "\n", + "Order->Order.Item\n", + "\n", "\n", "\n", "\n", "Office\n", "\n", - "\n", - "Office\n", + "\n", + "Office\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Employees\n", - "\n", - "\n", - "Employees\n", + "Employee\n", + "\n", + "\n", + "Employee\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Office->Employees\n", - "\n", + "Office->Employee\n", + "\n", "\n", - "\n", + "\n", "\n", - "Employees->6\n", - "\n", + "Employee->0\n", + "\n", "\n", - "\n", + "\n", "\n", - "Employees->7\n", - "\n", + "Employee->1\n", + "\n", "\n", - "\n", + "\n", "\n", - "Customers->Payments\n", - "\n", + "Customer->Payment\n", + "\n", "\n", - "\n", + "\n", "\n", - "Customers->Orders\n", - "\n", + "Customer->Order\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 5, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dj.Diagram(schema)" + "dj.Diagram(sales)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "\n", - " \n", - " \n", - 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103Atelier graphiqueSchmittCarine 40.32.255554, rue RoyaleNoneNantesNone44000France137021000.00
112Signal Gift StoresKingJean70255518388489 Strong St.NoneLas VegasNV83030USA116671800.00
114Australian Collectors, Co.FergusonPeter03 9520 4555636 St Kilda RoadLevel 3MelbourneVictoria3004Australia1611117300.00
119La Rochelle GiftsLabruneJanine 40.67.855567, rue des Cinquante OtagesNoneNantesNone44000France1370118200.00
121Baane Mini ImportsBergulfsenJonas 07-98 9555Erling Skakkes gate 78NoneStavernNone4110Norway150481700.00
124Mini Gifts Distributors Ltd.NelsonSusan41555514505677 Strong St.NoneSan RafaelCA97562USA1165210500.00
125Havel & Zbyszek CoPiestrzeniewiczZbyszek (26) 642-7555ul. Filtrowa 68NoneWarszawaNone01-012PolandNone0.00
128Blauer See Auto, Co.KeitelRoland+49 69 66 90 2555Lyonerstr. 34NoneFrankfurtNone60528Germany150459700.00
129Mini Wheels Co.MurphyJulie65055557875557 North Pendale StreetNoneSan FranciscoCA94217USA116564600.00
131Land of Toys Inc.LeeKwai2125557818897 Long Airport AvenueNoneNYCNY10022USA1323114900.00
141Euro+ Shopping ChannelFreyreDiego (91) 555 94 44C/ Moralzarzal, 86NoneMadridNone28034Spain1370227600.00
144Volvo Model Replicas, CoBerglundChristina 0921-12 3555Berguvsvägen 8NoneLuleåNoneS-958 22Sweden150453100.00
\n", - "

...

\n", - "

Total: 122

\n", - " " + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Regions->Countries\n", + "\n", + "\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Continents->Regions\n", + "\n", + "\n", + "\n", + "" ], "text/plain": [ - "*customerNumbe customerName contactLastNam contactFirstNa phone postal_line1 postal_line2 city state postal_code country salesRepEmploy creditLimit \n", - "+------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+ +-----------+ +------------+ +------------+\n", - "103 Atelier graphi Schmitt Carine 40.32.2555 54, rue Royale None Nantes None 44000 France 1370 21000.00 \n", - "112 Signal Gift St King Jean 7025551838 8489 Strong St None Las Vegas NV 83030 USA 1166 71800.00 \n", - "114 Australian Col Ferguson Peter 03 9520 4555 636 St Kilda R Level 3 Melbourne Victoria 3004 Australia 1611 117300.00 \n", - "119 La Rochelle Gi Labrune Janine 40.67.8555 67, rue des Ci None Nantes None 44000 France 1370 118200.00 \n", - "121 Baane Mini Imp Bergulfsen Jonas 07-98 9555 Erling Skakkes None Stavern None 4110 Norway 1504 81700.00 \n", - "124 Mini Gifts Dis Nelson Susan 4155551450 5677 Strong St None San Rafael CA 97562 USA 1165 210500.00 \n", - "125 Havel & Zbysze Piestrzeniewic Zbyszek (26) 642-7555 ul. Filtrowa 6 None Warszawa None 01-012 Poland None 0.00 \n", - "128 Blauer See Aut Keitel Roland +49 69 66 90 2 Lyonerstr. 34 None Frankfurt None 60528 Germany 1504 59700.00 \n", - "129 Mini Wheels Co Murphy Julie 6505555787 5557 North Pen None San Francisco CA 94217 USA 1165 64600.00 \n", - "131 Land of Toys I Lee Kwai 2125557818 897 Long Airpo None NYC NY 10022 USA 1323 114900.00 \n", - "141 Euro+ Shopping Freyre Diego (91) 555 94 44 C/ Moralzarzal None Madrid None 28034 Spain 1370 227600.00 \n", - "144 Volvo Model Re Berglund Christina 0921-12 3555 Berguvsvägen None Luleå None S-958 22 Sweden 1504 53100.00 \n", - " ...\n", - " (Total: 122)" + "" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Customers()" + "dj.Diagram(nations)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 6: Joins\n", + "\n", + "The following queries may require joins. Some queries may be performed using subquiries without joins." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 7: Aggregations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# List all regions and the number " ] }, { diff --git a/db-course/006-JoinsSQL.ipynb b/db-course/006-JoinsSQL.ipynb index 57a187d..34d4729 100644 --- a/db-course/006-JoinsSQL.ipynb +++ b/db-course/006-JoinsSQL.ipynb @@ -12,7 +12,9 @@ "%load_ext sql\n", "%config SqlMagic.autocommit=True\n", "\n", - "connection_string = \"mysql://root:simple@127.0.0.1\"" + "connection_string = \"mysql://root:simple@127.0.0.1\"\n", + "\n", + "%sql $connection_string" ] }, { From 2ea7abb9abaf6fe893be70f89b9682848165f2fb Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 24 Oct 2023 22:36:16 +0000 Subject: [PATCH 23/33] add example databases: hotel, university --- db-course/001-University.ipynb | 3546 ----------------- db-course/004-DatabaseHotel.ipynb | 1713 ++++++++ db-course/004-DatabaseUniversity.ipynb | 1352 +++++++ db-course/006-Joins-HW.ipynb | 612 ++- db-course/006-JoinsSQL.ipynb | 28 +- .../{GroupBy.ipynb => 007-Aggregation.ipynb} | 486 ++- db-course/Hotel.ipynb | 2340 ----------- db-course/JuliaSets.ipynb | 718 +++- 8 files changed, 4450 insertions(+), 6345 deletions(-) delete mode 100644 db-course/001-University.ipynb create mode 100644 db-course/004-DatabaseHotel.ipynb create mode 100644 db-course/004-DatabaseUniversity.ipynb rename db-course/{GroupBy.ipynb => 007-Aggregation.ipynb} (86%) delete mode 100644 db-course/Hotel.ipynb diff --git a/db-course/001-University.ipynb b/db-course/001-University.ipynb deleted file mode 100644 index a463f6c..0000000 --- a/db-course/001-University.ipynb +++ /dev/null @@ -1,3546 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Define" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-08-30 00:26:05,507][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-08-30 00:26:05,519][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], - "source": [ - "import datajoint as dj\n", - "\n", - "schema = dj.schema('university')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Student(dj.Manual):\n", - " definition = \"\"\"\n", - " student_id : int unsigned # university-wide ID number\n", - " ---\n", - " first_name : varchar(40)\n", - " last_name : varchar(40)\n", - " sex : enum('F', 'M', 'U')\n", - " date_of_birth : date\n", - " home_address : varchar(120) # mailing street address\n", - " home_city : varchar(60) # mailing address\n", - " home_state : char(2) # US state acronym: e.g. OH\n", - " home_zip : char(10) # zipcode e.g. 93979-4979\n", - " home_phone : varchar(20) # e.g. 414.657.6883x0881\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Department(dj.Manual):\n", - " definition = \"\"\"\n", - " dept : varchar(6) # abbreviated department name, e.g. BIOL\n", - " ---\n", - " dept_name : varchar(200) # full department name\n", - " dept_address : varchar(200) # mailing address\n", - " dept_phone : varchar(20)\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class StudentMajor(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Student\n", - " ---\n", - " -> Department\n", - " declare_date : date # when student declared her major\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Department\n", - "\n", - "\n", - "Department\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "StudentMajor\n", - "\n", - "\n", - "StudentMajor\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Department->StudentMajor\n", - "\n", - "\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Student->StudentMajor\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [], - "source": [ - "@schema\n", - "class Course(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Department\n", - " course : int unsigned # course number, e.g. 1010\n", - " ---\n", - " course_name : varchar(200) # e.g. \"Neurobiology of Sensation and Movement.\"\n", - " credits : decimal(3,1) # number of credits earned by completing the course\n", - " \"\"\"\n", - " \n", - "@schema\n", - "class Term(dj.Manual):\n", - " definition = \"\"\"\n", - " term_year : year\n", - " term : enum('Spring', 'Summer', 'Fall')\n", - " \"\"\"\n", - "\n", - "@schema\n", - "class Section(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Course\n", - " -> Term\n", - " section : char(1)\n", - " ---\n", - " auditorium : varchar(12)\n", - " \"\"\"\n", - " \n", - "@schema\n", - "class CurrentTerm(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Term\n", - " \"\"\"\n", - "\n", - "@schema\n", - "class Enroll(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Student\n", - " -> Section\n", - " \"\"\"\n", - "\n", - "@schema\n", - "class LetterGrade(dj.Manual):\n", - " definition = \"\"\"\n", - " grade : char(2)\n", - " ---\n", - " points : decimal(3,2)\n", - " \"\"\"\n", - "\n", - "@schema\n", - "class Grade(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Enroll\n", - " ---\n", - " -> LetterGrade\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Term\n", - "\n", - "\n", - "Term\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Section\n", - "\n", - "\n", - "Section\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Term->Section\n", - "\n", - "\n", - "\n", - "\n", - "CurrentTerm\n", - "\n", - "\n", - "CurrentTerm\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Term->CurrentTerm\n", - "\n", - "\n", - "\n", - "\n", - "Enroll\n", - "\n", - "\n", - "Enroll\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Section->Enroll\n", - "\n", - "\n", - "\n", - "\n", - "Grade\n", - "\n", - "\n", - "Grade\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Enroll->Grade\n", - "\n", - "\n", - "\n", - "\n", - "StudentMajor\n", - "\n", - "\n", - "StudentMajor\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "LetterGrade\n", - "\n", - "\n", - "LetterGrade\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "LetterGrade->Grade\n", - "\n", - "\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Student->Enroll\n", - "\n", - "\n", - "\n", - "\n", - "Student->StudentMajor\n", - "\n", - "\n", - "\n", - "\n", - "Department\n", - "\n", - "\n", - "Department\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Department->StudentMajor\n", - "\n", - "\n", - "\n", - "\n", - "Course\n", - "\n", - "\n", - "Course\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Department->Course\n", - "\n", - "\n", - "\n", - "\n", - "Course->Section\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "from tqdm import tqdm\n", - "import faker\n", - "import random\n", - "import itertools\n", - "import datetime\n", - "fake = faker.Faker()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "def yield_students():\n", - " fake_name = {'F': fake.name_female, 'M': fake.name_male}\n", - " while True: # ignore invalid values\n", - " try:\n", - " sex = random.choice(('F', 'M'))\n", - " first_name, last_name = fake_name[sex]().split(' ')[:2]\n", - " street_address, city = fake.address().split('\\n')\n", - " city, state = city.split(', ')\n", - " state, zipcode = state.split(' ') \n", - " except ValueError:\n", - " continue\n", - " else:\n", - " yield dict(\n", - " first_name=first_name,\n", - " last_name=last_name,\n", - " sex=sex,\n", - " home_address=street_address,\n", - " home_city=city,\n", - " home_state=state,\n", - " home_zip=zipcode,\n", - " date_of_birth=str(\n", - " fake.date_time_between(start_date=\"-35y\", end_date=\"-15y\").date()),\n", - " home_phone = fake.phone_number()[:20])" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "Student.insert(\n", - " dict(k, student_id=i) for i, k in zip(range(100,300), yield_students()))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - "

sex

\n", - " \n", - "
\n", - "

date_of_birth

\n", - " \n", - "
\n", - "

home_address

\n", - " mailing street address\n", - "
\n", - "

home_city

\n", - " mailing address\n", - "
\n", - "

home_state

\n", - " US state acronym: e.g. OH\n", - "
\n", - "

home_zip

\n", - " zipcode e.g. 93979-4979\n", - "
\n", - "

home_phone

\n", - " e.g. 414.657.6883x0881\n", - "
100BarbaraCruzF1995-11-15877 Perez RouteSouth NathanlandSC37876+1-440-738-5021x919
101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
102LisaHowardF2001-03-2220309 Sparks Point Suite 605KevinboroughWA46193+1-496-409-0832x7028
103WilliamCabreraM2007-10-071452 Little SquaresAlexandraburyOK78525930.731.6737
104EmmaWilliamsF2006-01-251515 Andrea Ferry Suite 616North VictoriaburySC68350(725)950-3537x1651
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
108SherryMartinezF2000-05-2953980 Jennifer OrchardNicolelandFL88079638-594-3126x4188
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
\n", - "

...

\n", - "

Total: 200

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Barbara Cruz F 1995-11-15 877 Perez Rout South Nathanla SC 37876 +1-440-738-502\n", - "101 Charles Lang M 2003-01-18 1443 Gaines Sh South Derrickh NY 17676 (685)341-0168x\n", - "102 Lisa Howard F 2001-03-22 20309 Sparks P Kevinborough WA 46193 +1-496-409-083\n", - "103 William Cabrera M 2007-10-07 1452 Little Sq Alexandrabury OK 78525 930.731.6737 \n", - "104 Emma Williams F 2006-01-25 1515 Andrea Fe North Victoria SC 68350 (725)950-3537x\n", - "105 Jessica Ruiz F 1988-09-16 4624 Dunn Cour Heatherburgh WV 39941 869.251.0923 \n", - "106 Daniel Bates M 1994-10-31 72318 Martinez Sarahborough AR 18566 (609)547-7753x\n", - "107 Jennifer Henderson F 2004-07-03 2867 Brian Vis Port Amy NV 18620 209-483-8663x1\n", - "108 Sherry Martinez F 2000-05-29 53980 Jennifer Nicoleland FL 88079 638-594-3126x4\n", - "109 Jill Wilson F 1994-02-28 97226 Scott Es Washingtonvill MA 42090 (744)453-4573x\n", - "110 Summer Brown F 2000-08-14 5210 Herrera C East Joan IA 64238 (549)359-7826x\n", - "111 Tina Ray F 1995-04-14 1407 Brandon R South Samuelfo KS 22351 001-839-569-70\n", - " ...\n", - " (Total: 200)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Student()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "Department.insert(\n", - " dict(dept=dept, \n", - " dept_name=name, \n", - " dept_address=fake.address(), \n", - " dept_phone=fake.phone_number()[:20])\n", - " for dept, name in [\n", - " [\"CS\", \"Computer Science\"],\n", - " [\"BIOL\", \"Life Sciences\"],\n", - " [\"PHYS\", \"Physics\"],\n", - " [\"MATH\", \"Mathematics\"]])" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "StudentMajor.insert({**s, **d, \n", - " 'declare_date':fake.date_between(start_date=datetime.date(1999,1,1))}\n", - " for s, d in zip(Student.fetch('KEY'), random.choices(Department.fetch('KEY'), k=len(Student())))\n", - " if random.random() < 0.75)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

declare_date

\n", - " when student declared her major\n", - "
100PHYS2007-01-27
101CS2013-05-30
102CS2020-04-17
105CS2020-11-25
106CS2011-09-24
109BIOL2012-12-01
111BIOL2010-08-27
112BIOL2018-03-31
115BIOL2014-04-17
117PHYS2018-05-03
118BIOL1999-01-18
119BIOL2014-07-12
\n", - "

...

\n", - "

Total: 149

\n", - " " - ], - "text/plain": [ - "*student_id dept declare_date \n", - "+------------+ +------+ +------------+\n", - "100 PHYS 2007-01-27 \n", - "101 CS 2013-05-30 \n", - "102 CS 2020-04-17 \n", - "105 CS 2020-11-25 \n", - "106 CS 2011-09-24 \n", - "109 BIOL 2012-12-01 \n", - "111 BIOL 2010-08-27 \n", - "112 BIOL 2018-03-31 \n", - "115 BIOL 2014-04-17 \n", - "117 PHYS 2018-05-03 \n", - "118 BIOL 1999-01-18 \n", - "119 BIOL 2014-07-12 \n", - " ...\n", - " (Total: 149)" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "StudentMajor()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "# from https://www.utah.edu/\n", - "Course.insert([\n", - " ['BIOL', 1006, 'World of Dinosaurs', 3],\n", - " ['BIOL', 1010, 'Biology in the 21st Century', 3],\n", - " ['BIOL', 1030, 'Human Biology', 3],\n", - " ['BIOL', 1210, 'Principles of Biology', 4],\n", - " ['BIOL', 2010, 'Evolution & Diversity of Life', 3],\n", - " ['BIOL', 2020, 'Principles of Cell Biology', 3],\n", - " ['BIOL', 2021, 'Principles of Cell Science', 4],\n", - " ['BIOL', 2030, 'Principles of Genetics', 3],\n", - " ['BIOL', 2210, 'Human Genetics',3],\n", - " ['BIOL', 2325, 'Human Anatomy', 4],\n", - " ['BIOL', 2330, 'Plants & Society', 3],\n", - " ['BIOL', 2355, 'Field Botany', 2],\n", - " ['BIOL', 2420, 'Human Physiology', 4],\n", - "\n", - " ['PHYS', 2040, 'Classcal Theoretical Physics II', 4],\n", - " ['PHYS', 2060, 'Quantum Mechanics', 3],\n", - " ['PHYS', 2100, 'General Relativity and Cosmology', 3],\n", - " ['PHYS', 2140, 'Statistical Mechanics', 4],\n", - " \n", - " ['PHYS', 2210, 'Physics for Scientists and Engineers I', 4], \n", - " ['PHYS', 2220, 'Physics for Scientists and Engineers II', 4],\n", - " ['PHYS', 3210, 'Physics for Scientists I (Honors)', 4],\n", - " ['PHYS', 3220, 'Physics for Scientists II (Honors)', 4],\n", - " \n", - " ['MATH', 1250, 'Calculus for AP Students I', 4],\n", - " ['MATH', 1260, 'Calculus for AP Students II', 4],\n", - " ['MATH', 1210, 'Calculus I', 4],\n", - " ['MATH', 1220, 'Calculus II', 4],\n", - " ['MATH', 2210, 'Calculus III', 3],\n", - " \n", - " ['MATH', 2270, 'Linear Algebra', 4],\n", - " ['MATH', 2280, 'Introduction to Differential Equations', 4],\n", - " ['MATH', 3210, 'Foundations of Analysis I', 4],\n", - " ['MATH', 3220, 'Foundations of Analysis II', 4],\n", - " \n", - " ['CS', 1030, 'Foundations of Computer Science', 3],\n", - " ['CS', 1410, 'Introduction to Object-Oriented Programming', 4],\n", - " ['CS', 2420, 'Introduction to Algorithms & Data Structures', 4],\n", - " ['CS', 2100, 'Discrete Structures', 3],\n", - " ['CS', 3500, 'Software Practice', 4],\n", - " ['CS', 3505, 'Software Practice II', 3],\n", - " ['CS', 3810, 'Computer Organization', 4],\n", - " ['CS', 4400, 'Computer Systems', 4],\n", - " ['CS', 4150, 'Algorithms', 3],\n", - " ['CS', 3100, 'Models of Computation', 3],\n", - " ['CS', 3200, 'Introduction to Scientific Computing', 3],\n", - " ['CS', 4000, 'Senior Capstone Project - Design Phase', 3],\n", - " ['CS', 4500, 'Senior Capstone Project', 3],\n", - " ['CS', 4940, 'Undergraduate Research', 3],\n", - " ['CS', 4970, 'Computer Science Bachelor''s Thesis', 3]])" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "Term.insert(dict(term_year=year, term=term) \n", - " for year in range(1999, 2019) \n", - " for term in ['Spring', 'Summer', 'Fall'])\n", - "\n", - "Term().fetch(order_by=('term_year DESC', 'term DESC'), as_dict=True, limit=1)[0]\n", - "\n", - "CurrentTerm().insert1({\n", - " **Term().fetch(order_by=('term_year DESC', 'term DESC'), as_dict=True, limit=1)[0]})\n", - "\n", - "def make_section(prob):\n", - " for c in (Course * Term).proj():\n", - " for sec in 'abcd':\n", - " if random.random() < prob:\n", - " break\n", - " yield {\n", - " **c, 'section': sec, \n", - " 'auditorium': random.choice('ABCDEF') + str(random.randint(1,100))} \n", - "\n", - "Section.insert(make_section(0.5))" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "LetterGrade.insert([\n", - " ['A', 4.00],\n", - " ['A-', 3.67],\n", - " ['B+', 3.33],\n", - " ['B', 3.00],\n", - " ['B-', 2.67],\n", - " ['C+', 2.33],\n", - " ['C', 2.00],\n", - " ['C-', 1.67],\n", - " ['D+', 1.33],\n", - " ['D', 1.00],\n", - " ['F', 0.00]])" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

grade

\n", - " \n", - "
\n", - "

points

\n", - " \n", - "
A4.00
A-3.67
B3.00
B-2.67
B+3.33
C2.00
C-1.67
C+2.33
D1.00
D+1.33
F0.00
\n", - " \n", - "

Total: 11

\n", - " " - ], - "text/plain": [ - "*grade points \n", - "+-------+ +--------+\n", - "A 4.00 \n", - "A- 3.67 \n", - "B 3.00 \n", - "B- 2.67 \n", - "B+ 3.33 \n", - "C 2.00 \n", - "C- 1.67 \n", - "C+ 2.33 \n", - "D 1.00 \n", - "D+ 1.33 \n", - "F 0.00 \n", - " (Total: 11)" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "LetterGrade()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 200/200 [00:10<00:00, 19.38it/s]\n" - ] - } - ], - "source": [ - "# Enrollment \n", - "terms = Term().fetch('KEY')\n", - "quit_prob = 0.1\n", - "for student in tqdm(Student.fetch('KEY')):\n", - " start_term = random.randrange(len(terms))\n", - " for term in terms[start_term:]:\n", - " if random.random() < quit_prob:\n", - " break\n", - " else:\n", - " sections = ((Section & term) - (Course & (Enroll & student))).fetch('KEY')\n", - " if sections:\n", - " Enroll.insert({**student, **section} for section in \n", - " random.sample(sections, random.randrange(min(5, len(sections)))))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# assign random grades\n", - "grades = LetterGrade.fetch('grade')\n", - "\n", - "grade_keys = Enroll.fetch('KEY')\n", - "random.shuffle(grade_keys)\n", - "grade_keys = grade_keys[:len(grade_keys)*9//10]\n", - "\n", - "Grade.insert({**key, 'grade':grade} \n", - " for key, grade in zip(grade_keys, random.choices(grades, k=len(grade_keys))))" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

course

\n", - " course number, e.g. 1010\n", - "
\n", - "

term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
\n", - "

section

\n", - " \n", - "
169BIOL10062001Springa
195BIOL10062001Springa
171BIOL10062001Springb
255BIOL10062001Summera
110BIOL10062002Falla
184BIOL10062002Falla
245BIOL10062002Falla
143BIOL10062002Fallb
148BIOL10062002Fallc
114BIOL10062003Falla
151BIOL10062003Falla
225BIOL10062003Falla
\n", - "

...

\n", - "

Total: 2863

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section \n", - "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+\n", - "169 BIOL 1006 2001 Spring a \n", - "195 BIOL 1006 2001 Spring a \n", - "171 BIOL 1006 2001 Spring b \n", - "255 BIOL 1006 2001 Summer a \n", - "110 BIOL 1006 2002 Fall a \n", - "184 BIOL 1006 2002 Fall a \n", - "245 BIOL 1006 2002 Fall a \n", - "143 BIOL 1006 2002 Fall b \n", - "148 BIOL 1006 2002 Fall c \n", - "114 BIOL 1006 2003 Fall a \n", - "151 BIOL 1006 2003 Fall a \n", - "225 BIOL 1006 2003 Fall a \n", - " ...\n", - " (Total: 2863)" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Enroll()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Queries" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Restriction" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - "

sex

\n", - " \n", - "
\n", - "

date_of_birth

\n", - " \n", - "
\n", - "

home_address

\n", - " mailing street address\n", - "
\n", - "

home_city

\n", - " mailing address\n", - "
\n", - "

home_state

\n", - " US state acronym: e.g. OH\n", - "
\n", - "

home_zip

\n", - " zipcode e.g. 93979-4979\n", - "
\n", - "

home_phone

\n", - " e.g. 414.657.6883x0881\n", - "
198GaryAriasM2001-08-265693 Rachel FortJohnsonhavenTX80473(614)716-3998x72349
\n", - " \n", - "

Total: 1

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "198 Gary Arias M 2001-08-26 5693 Rachel Fo Johnsonhaven TX 80473 (614)716-3998x\n", - " (Total: 1)" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Students from Texas\n", - "Student & {'home_state': 'TX'}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Student & 'home_state=\"TX\"'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Male students from outside Texas\n", - "(Student & 'sex=\"M\"') - {'home_state': 'TX'}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Students from TX, OK, or NM\n", - "Student & [{'home_state':'OK'}, {'home_state':'NM'}, {'home_state':'TX'}] " - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "# Millenials\n", - "millennials = Student & 'date_of_birth between \"1981-01-01\" and \"1996-12-31\"'" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - "

sex

\n", - " \n", - "
\n", - "

date_of_birth

\n", - " \n", - "
\n", - "

home_address

\n", - " mailing street address\n", - "
\n", - "

home_city

\n", - " mailing address\n", - "
\n", - "

home_state

\n", - " US state acronym: e.g. OH\n", - "
\n", - "

home_zip

\n", - " zipcode e.g. 93979-4979\n", - "
\n", - "

home_phone

\n", - " e.g. 414.657.6883x0881\n", - "
100BarbaraCruzF1995-11-15877 Perez RouteSouth NathanlandSC37876+1-440-738-5021x919
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
113JoshuaFosterM1995-12-055977 Hannah Gateway Apt. 455AlexaburghIL25439954-732-8286
115SarahCantuF1993-11-220746 Gloria Mills Suite 175HowardtonNM71040605.358.8159
116AlfredSnyderM1992-07-1731613 Frank Road Apt. 815MartinsidePA33470880.832.0572x198
117LaurenMackF1992-11-3009867 Ronald IslandsLewisboroughNC52039660-258-8038
120WandaFreyF1996-01-22917 Woods MeadowSouth LisaFL96002(624)972-1055x79856
121MicheleBlackF1990-06-18193 Arroyo Ramp Suite 437CrystalhavenWA97851967.573.9745
124CynthiaSteeleF1994-11-1563503 Garcia Park Apt. 871GinaportFL22097(641)890-0271
\n", - "

...

\n", - "

Total: 83

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Barbara Cruz F 1995-11-15 877 Perez Rout South Nathanla SC 37876 +1-440-738-502\n", - "105 Jessica Ruiz F 1988-09-16 4624 Dunn Cour Heatherburgh WV 39941 869.251.0923 \n", - "106 Daniel Bates M 1994-10-31 72318 Martinez Sarahborough AR 18566 (609)547-7753x\n", - "109 Jill Wilson F 1994-02-28 97226 Scott Es Washingtonvill MA 42090 (744)453-4573x\n", - "111 Tina Ray F 1995-04-14 1407 Brandon R South Samuelfo KS 22351 001-839-569-70\n", - "113 Joshua Foster M 1995-12-05 5977 Hannah Ga Alexaburgh IL 25439 954-732-8286 \n", - "115 Sarah Cantu F 1993-11-22 0746 Gloria Mi Howardton NM 71040 605.358.8159 \n", - "116 Alfred Snyder M 1992-07-17 31613 Frank Ro Martinside PA 33470 880.832.0572x1\n", - "117 Lauren Mack F 1992-11-30 09867 Ronald I Lewisborough NC 52039 660-258-8038 \n", - "120 Wanda Frey F 1996-01-22 917 Woods Mead South Lisa FL 96002 (624)972-1055x\n", - "121 Michele Black F 1990-06-18 193 Arroyo Ram Crystalhaven WA 97851 967.573.9745 \n", - "124 Cynthia Steele F 1994-11-15 63503 Garcia P Ginaport FL 22097 (641)890-0271 \n", - " ...\n", - " (Total: 83)" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "millennials" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - "

sex

\n", - " \n", - "
\n", - "

date_of_birth

\n", - " \n", - "
\n", - "

home_address

\n", - " mailing street address\n", - "
\n", - "

home_city

\n", - " mailing address\n", - "
\n", - "

home_state

\n", - " US state acronym: e.g. OH\n", - "
\n", - "

home_zip

\n", - " zipcode e.g. 93979-4979\n", - "
\n", - "

home_phone

\n", - " e.g. 414.657.6883x0881\n", - "
100BarbaraCruzF1995-11-15877 Perez RouteSouth NathanlandSC37876+1-440-738-5021x919
101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
102LisaHowardF2001-03-2220309 Sparks Point Suite 605KevinboroughWA46193+1-496-409-0832x7028
104EmmaWilliamsF2006-01-251515 Andrea Ferry Suite 616North VictoriaburySC68350(725)950-3537x1651
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
108SherryMartinezF2000-05-2953980 Jennifer OrchardNicolelandFL88079638-594-3126x4188
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
112CraigNolanM2001-12-08425 Nathan Turnpike Apt. 256SeanstadCA17904898.625.6573x46193
\n", - "

...

\n", - "

Total: 180

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Barbara Cruz F 1995-11-15 877 Perez Rout South Nathanla SC 37876 +1-440-738-502\n", - "101 Charles Lang M 2003-01-18 1443 Gaines Sh South Derrickh NY 17676 (685)341-0168x\n", - "102 Lisa Howard F 2001-03-22 20309 Sparks P Kevinborough WA 46193 +1-496-409-083\n", - "104 Emma Williams F 2006-01-25 1515 Andrea Fe North Victoria SC 68350 (725)950-3537x\n", - "105 Jessica Ruiz F 1988-09-16 4624 Dunn Cour Heatherburgh WV 39941 869.251.0923 \n", - "106 Daniel Bates M 1994-10-31 72318 Martinez Sarahborough AR 18566 (609)547-7753x\n", - "107 Jennifer Henderson F 2004-07-03 2867 Brian Vis Port Amy NV 18620 209-483-8663x1\n", - "108 Sherry Martinez F 2000-05-29 53980 Jennifer Nicoleland FL 88079 638-594-3126x4\n", - "109 Jill Wilson F 1994-02-28 97226 Scott Es Washingtonvill MA 42090 (744)453-4573x\n", - "110 Summer Brown F 2000-08-14 5210 Herrera C East Joan IA 64238 (549)359-7826x\n", - "111 Tina Ray F 1995-04-14 1407 Brandon R South Samuelfo KS 22351 001-839-569-70\n", - "112 Craig Nolan M 2001-12-08 425 Nathan Tur Seanstad CA 17904 898.625.6573x4\n", - " ...\n", - " (Total: 180)" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Students who have taken classes\n", - "Student & Enroll" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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168SusanSmithF1994-12-30560 Lopez Branch Apt. 788New JasonfurtFL96037001-232-425-7123x362
194ChristopherHernandezM1990-07-31534 Amanda Hill Apt. 376South AmandavilleWA25494(787)577-0513x07471
208ChristineBarronF1996-07-061691 Burke LakeCaldwellvilleCA88933283.966.1713
226JosephEvansM1990-10-07539 Thomas Crossroad Apt. 694West EmilyWV81719726.837.3774x03599
284MonicaBurtonF1995-08-03550 Alison Dale Suite 863RandalllandWI14516637.445.3376x631
289JerryRamirezM1989-06-1295936 Lara SkywayRandybergAS34131996.978.0755
292AmandaDoughertyF1995-02-2637994 Smith IslandCartershireAL59865566.392.0752x22812
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Total: 7

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103WilliamCabreraM2007-10-071452 Little SquaresAlexandraburyOK78525930.731.6737
127CherylHawkinsF2007-08-092653 Lance DriveCrossboroughRI726487447138304
128MichaelDixonM1997-02-27022 Smith CourtsSouth ZacharyID978924037310777
133PaulHallM1998-05-3054772 Zachary Viaduct Apt. 395SarahsideIA92005+1-609-773-3976
153AprilSimsF2000-07-22619 Levy Burgs Apt. 847South OscarNH75765940-428-5035x9354
165CindyBarnesF2005-01-038306 Barry GatewayElizabethmouthND32608001-297-459-1311
168SusanSmithF1994-12-30560 Lopez Branch Apt. 788New JasonfurtFL96037001-232-425-7123x362
175DaniellePaulF2003-02-1535339 James Crescent Suite 466New StephenMA72663001-901-663-8095
178FrankPerkinsM2003-06-0395950 Jasmine LocksEast GarySD76339+1-461-513-2595x005
194ChristopherHernandezM1990-07-31534 Amanda Hill Apt. 376South AmandavilleWA25494(787)577-0513x07471
208ChristineBarronF1996-07-061691 Burke LakeCaldwellvilleCA88933283.966.1713
213MichaelRiceM2007-09-1437237 Paul IslandNew AaronshireMN23096(443)808-2349
\n", - "

...

\n", - "

Total: 20

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "103 William Cabrera M 2007-10-07 1452 Little Sq Alexandrabury OK 78525 930.731.6737 \n", - "127 Cheryl Hawkins F 2007-08-09 2653 Lance Dri Crossborough RI 72648 7447138304 \n", - "128 Michael Dixon M 1997-02-27 022 Smith Cour South Zachary ID 97892 4037310777 \n", - "133 Paul Hall M 1998-05-30 54772 Zachary Sarahside IA 92005 +1-609-773-397\n", - "153 April Sims F 2000-07-22 619 Levy Burgs South Oscar NH 75765 940-428-5035x9\n", - "165 Cindy Barnes F 2005-01-03 8306 Barry Gat Elizabethmouth ND 32608 001-297-459-13\n", - "168 Susan Smith F 1994-12-30 560 Lopez Bran New Jasonfurt FL 96037 001-232-425-71\n", - "175 Danielle Paul F 2003-02-15 35339 James Cr New Stephen MA 72663 001-901-663-80\n", - "178 Frank Perkins M 2003-06-03 95950 Jasmine East Gary SD 76339 +1-461-513-259\n", - "194 Christopher Hernandez M 1990-07-31 534 Amanda Hil South Amandavi WA 25494 (787)577-0513x\n", - "208 Christine Barron F 1996-07-06 1691 Burke Lak Caldwellville CA 88933 283.966.1713 \n", - "213 Michael Rice M 2007-09-14 37237 Paul Isl New Aaronshire MN 23096 (443)808-2349 \n", - " ...\n", - " (Total: 20)" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Students who have not taken classes\n", - "Student - Enroll" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
119SarahLinF2001-09-136469 Jesus Stravenue Suite 497Lake ThomaschesterWY35503408.292.3880
130PamelaBlevinsF1990-08-133266 Michael Villages Apt. 068New NathanlandVI97258274.333.7892
136StephanieMorganF2003-12-2539130 Lewis DivideWest NicolesideDC09460(926)699-2959x61499
142GregoryCrossM2000-03-298455 Beth Spring Apt. 986TimothymouthMO81976705.668.5361
158RobynShermanF2001-01-1278443 Shelley GlensArnoldmouthPR37442+1-301-611-8059
161AngelaHallF1993-03-31992 Richards TrailTimothyburyND02774991-551-7347
166KelseyKellyF2007-10-08905 Danny RapidNew DouglasCO85978+1-984-965-9423
170WesleyPorterM2004-04-23407 Hunt Course Suite 409BridgetburyAZ94654680-470-1676x41754
179BrandonSchroederM2001-05-22248 Rose MountainLake TamiburghMP21021+1-845-637-4872x588
185RandyClarkM1989-09-1690744 Riley Island Suite 143New RebeccahavenVT80027610-310-9648x9223
189JacobDixonM1999-07-092523 Baker Forges Apt. 339South JessicaSC28224001-729-347-2962x297
\n", - "

...

\n", - "

Total: 34

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "101 Charles Lang M 2003-01-18 1443 Gaines Sh South Derrickh NY 17676 (685)341-0168x\n", - "119 Sarah Lin F 2001-09-13 6469 Jesus Str Lake Thomasche WY 35503 408.292.3880 \n", - "130 Pamela Blevins F 1990-08-13 3266 Michael V New Nathanland VI 97258 274.333.7892 \n", - "136 Stephanie Morgan F 2003-12-25 39130 Lewis Di West Nicolesid DC 09460 (926)699-2959x\n", - "142 Gregory Cross M 2000-03-29 8455 Beth Spri Timothymouth MO 81976 705.668.5361 \n", - "158 Robyn Sherman F 2001-01-12 78443 Shelley Arnoldmouth PR 37442 +1-301-611-805\n", - "161 Angela Hall F 1993-03-31 992 Richards T Timothybury ND 02774 991-551-7347 \n", - "166 Kelsey Kelly F 2007-10-08 905 Danny Rapi New Douglas CO 85978 +1-984-965-942\n", - "170 Wesley Porter M 2004-04-23 407 Hunt Cours Bridgetbury AZ 94654 680-470-1676x4\n", - "179 Brandon Schroeder M 2001-05-22 248 Rose Mount Lake Tamiburgh MP 21021 +1-845-637-487\n", - "185 Randy Clark M 1989-09-16 90744 Riley Is New Rebeccahav VT 80027 610-310-9648x9\n", - "189 Jacob Dixon M 1999-07-09 2523 Baker For South Jessica SC 28224 001-729-347-29\n", - " ...\n", - " (Total: 34)" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Students who have taken Biology classes but no MATH courses\n", - "(Student & (Enroll & 'dept=\"BIOL\"')) - (Enroll & 'dept=\"MATH\"')" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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103WilliamCabreraM2007-10-071452 Little SquaresAlexandraburyOK78525930.731.6737
104EmmaWilliamsF2006-01-251515 Andrea Ferry Suite 616North VictoriaburySC68350(725)950-3537x1651
107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
108SherryMartinezF2000-05-2953980 Jennifer OrchardNicolelandFL88079638-594-3126x4188
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
113JoshuaFosterM1995-12-055977 Hannah Gateway Apt. 455AlexaburghIL25439954-732-8286
114GeorgeSanchezM2007-12-2655281 Small Glens Suite 794East JustinFL956314979279923
116AlfredSnyderM1992-07-1731613 Frank Road Apt. 815MartinsidePA33470880.832.0572x198
125ArielHawkinsF2002-01-0220104 Kimberly ClubHeathersideNV33834(953)452-1914x02596
126TaraDuncanF1992-10-1995977 Victoria Creek Suite 442New PaulGU91322+1-386-829-2550x2027
127CherylHawkinsF2007-08-092653 Lance DriveCrossboroughRI726487447138304
130PamelaBlevinsF1990-08-133266 Michael Villages Apt. 068New NathanlandVI97258274.333.7892
\n", - "

...

\n", - "

Total: 51

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "103 William Cabrera M 2007-10-07 1452 Little Sq Alexandrabury OK 78525 930.731.6737 \n", - "104 Emma Williams F 2006-01-25 1515 Andrea Fe North Victoria SC 68350 (725)950-3537x\n", - "107 Jennifer Henderson F 2004-07-03 2867 Brian Vis Port Amy NV 18620 209-483-8663x1\n", - "108 Sherry Martinez F 2000-05-29 53980 Jennifer Nicoleland FL 88079 638-594-3126x4\n", - "110 Summer Brown F 2000-08-14 5210 Herrera C East Joan IA 64238 (549)359-7826x\n", - "113 Joshua Foster M 1995-12-05 5977 Hannah Ga Alexaburgh IL 25439 954-732-8286 \n", - "114 George Sanchez M 2007-12-26 55281 Small Gl East Justin FL 95631 4979279923 \n", - "116 Alfred Snyder M 1992-07-17 31613 Frank Ro Martinside PA 33470 880.832.0572x1\n", - "125 Ariel Hawkins F 2002-01-02 20104 Kimberly Heatherside NV 33834 (953)452-1914x\n", - "126 Tara Duncan F 1992-10-19 95977 Victoria New Paul GU 91322 +1-386-829-255\n", - "127 Cheryl Hawkins F 2007-08-09 2653 Lance Dri Crossborough RI 72648 7447138304 \n", - "130 Pamela Blevins F 1990-08-13 3266 Michael V New Nathanland VI 97258 274.333.7892 \n", - " ...\n", - " (Total: 51)" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Students who have not selected a major\n", - "Student - StudentMajor" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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100BarbaraCruzF1995-11-15877 Perez RouteSouth NathanlandSC37876+1-440-738-5021x919
101CharlesLangM2003-01-181443 Gaines ShoalSouth DerrickhavenNY17676(685)341-0168x1216
103WilliamCabreraM2007-10-071452 Little SquaresAlexandraburyOK78525930.731.6737
105JessicaRuizF1988-09-164624 Dunn Course Apt. 727HeatherburghWV39941869.251.0923
106DanielBatesM1994-10-3172318 Martinez Throughway Apt. 037SarahboroughAR18566(609)547-7753x0172
107JenniferHendersonF2004-07-032867 Brian Vista Apt. 094Port AmyNV18620209-483-8663x17357
109JillWilsonF1994-02-2897226 Scott Estates Apt. 983WashingtonvilleMA42090(744)453-4573x3520
110SummerBrownF2000-08-145210 Herrera CliffEast JoanIA64238(549)359-7826x6789
111TinaRayF1995-04-141407 Brandon RidgeSouth SamuelfortKS22351001-839-569-7092x170
112CraigNolanM2001-12-08425 Nathan Turnpike Apt. 256SeanstadCA17904898.625.6573x46193
113JoshuaFosterM1995-12-055977 Hannah Gateway Apt. 455AlexaburghIL25439954-732-8286
114GeorgeSanchezM2007-12-2655281 Small Glens Suite 794East JustinFL956314979279923
\n", - "

...

\n", - "

Total: 170

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Barbara Cruz F 1995-11-15 877 Perez Rout South Nathanla SC 37876 +1-440-738-502\n", - "101 Charles Lang M 2003-01-18 1443 Gaines Sh South Derrickh NY 17676 (685)341-0168x\n", - "103 William Cabrera M 2007-10-07 1452 Little Sq Alexandrabury OK 78525 930.731.6737 \n", - "105 Jessica Ruiz F 1988-09-16 4624 Dunn Cour Heatherburgh WV 39941 869.251.0923 \n", - "106 Daniel Bates M 1994-10-31 72318 Martinez Sarahborough AR 18566 (609)547-7753x\n", - "107 Jennifer Henderson F 2004-07-03 2867 Brian Vis Port Amy NV 18620 209-483-8663x1\n", - "109 Jill Wilson F 1994-02-28 97226 Scott Es Washingtonvill MA 42090 (744)453-4573x\n", - "110 Summer Brown F 2000-08-14 5210 Herrera C East Joan IA 64238 (549)359-7826x\n", - "111 Tina Ray F 1995-04-14 1407 Brandon R South Samuelfo KS 22351 001-839-569-70\n", - "112 Craig Nolan M 2001-12-08 425 Nathan Tur Seanstad CA 17904 898.625.6573x4\n", - "113 Joshua Foster M 1995-12-05 5977 Hannah Ga Alexaburgh IL 25439 954-732-8286 \n", - "114 George Sanchez M 2007-12-26 55281 Small Gl East Justin FL 95631 4979279923 \n", - " ...\n", - " (Total: 170)" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Students who are taking courses in the current term\n", - "Student - (Enroll & CurrentTerm)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'SELECT `student_id`,`first_name`,`last_name`,`sex`,`date_of_birth`,`home_address`,`home_city`,`home_state`,`home_zip`,`home_phone` FROM `university`.`student` WHERE ((`student_id`) not in (SELECT `student_id` FROM `university`.`enroll` WHERE ((`term_year`,`term`) in (SELECT `term_year`,`term` FROM `university`.`current_term`))))'" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(Student - (Enroll & CurrentTerm)).make_sql()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Ungraded courses\n", - "Enroll - Grade" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Ungraded courses in the current term\n", - "(Enroll & CurrentTerm) - Grade" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Students who have taken classes and have chosen a major\n", - "(Student & Enroll & StudentMajor)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#Students who have taken classes or have chosen a major\n", - "Student & [Enroll, StudentMajor]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Enrollment in courses from the same department as the students' major\n", - "Enroll & StudentMajor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Join" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

course

\n", - " course number, e.g. 1010\n", - "
\n", - "

term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
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section

\n", - " \n", - "
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grade

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points

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Total: 0

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section *grade points \n", - "+------------+ +------+ +--------+ +-----------+ +------+ +---------+ +-------+ +--------+\n", - "\n", - " (Total: 0)" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Grade point values\n", - "Grade * LetterGrade" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

course

\n", - " course number, e.g. 1010\n", - "
\n", - "

term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
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section

\n", - " \n", - "
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grade

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first_name

\n", - " \n", - "
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last_name

\n", - " \n", - "
\n", - "

sex

\n", - " \n", - "
\n", - "

date_of_birth

\n", - " \n", - "
\n", - "

home_address

\n", - " mailing street address\n", - "
\n", - "

home_city

\n", - " mailing address\n", - "
\n", - "

home_state

\n", - " US state acronym: e.g. OH\n", - "
\n", - "

home_zip

\n", - " zipcode e.g. 93979-4979\n", - "
\n", - "

home_phone

\n", - " e.g. 414.657.6883x0881\n", - "
\n", - "

course_name

\n", - " e.g. \"Neurobiology of Sensation and Movement.\"\n", - "
\n", - "

credits

\n", - " number of credits earned by completing the course\n", - "
\n", - "

auditorium

\n", - " \n", - "
\n", - "

points

\n", - " \n", - "
\n", - " \n", - "

Total: 0

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section *grade first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone course_name credits auditorium points \n", - "+------------+ +------+ +--------+ +-----------+ +------+ +---------+ +-------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +-----------+ +------------+ +----------+ +------------+ +------------+ +---------+ +------------+ +--------+\n", - "\n", - " (Total: 0)" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Graded enrollments with complete course and student information\n", - "Student * Enroll * Course * Section * Grade * LetterGrade" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Enrollment with major information\n", - "Enroll * StudentMajor.proj(major='dept')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Enrollment outside chosen major\n", - "Enroll * StudentMajor.proj(major='dept') & 'major<>dept'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Enrollment not matching major \n", - "Enroll - StudentMajor " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Total grade points\n", - "(Course * Grade * LetterGrade).proj(total='points*credits')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Aggr" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Students in each section\n", - "Section.aggr(Enroll, n='count(*)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Average grade in each course\n", - "Course.aggr(Grade*LetterGrade, avg_grade='avg(points)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Fraction graded in each section\n", - "(Section.aggr(Enroll,n='count(*)') * Section.aggr(Grade, m='count(*)')).proj(\n", - " 'm','n',frac='m/n')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Student GPA\n", - "Student.aggr(Course * Grade * LetterGrade, \n", - " gpa='sum(points*credits)/sum(credits)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Average GPA for each major\n", - "gpa = Student.aggr(Course * Grade * LetterGrade,\n", - " gpa='sum(points*credits)/sum(credits)')\n", - "Department.aggr(StudentMajor*gpa, avg_gpa='avg(gpa)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.17" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/db-course/004-DatabaseHotel.ipynb b/db-course/004-DatabaseHotel.ipynb new file mode 100644 index 0000000..9d34b92 --- /dev/null +++ b/db-course/004-DatabaseHotel.ipynb @@ -0,0 +1,1713 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6e26075b", + "metadata": {}, + "source": [ + "# Hotel Database\n", + "## Assignment\n", + "\n", + "Design, populate, and query a database for a hotel reservation system with the following business rules:\n", + "\n", + "1. The hotel has a number of rooms of two types: Deluxe and Suite\n", + "2. For every night, some rooms are made available for reservation for a specific price.\n", + "3. A guest can make a reservation for an avavilable room for one night. The reservation must include credit card payment info. At most one reservation can be made per night per room.\n", + "4. A guest can check into a room that has been reserved. An attempt to check in without a reservation will generate an error.\n", + "5. A guest can check out only after checking in. An attempt to check out multiple times or check out without checking in will generate an error.\n", + "\n", + "Your Python code should provide the following:\n", + "\n", + "1. A section to create the tables. The design must be in 3rd normal form following the conventions discussed in class and enforcing the business rules above.\n", + "\n", + "2. Provide code to populate rooms and room availability with prices.\n", + "\n", + "3. The function `reserve_room(room, date, guest_name, credit_card)` to make a reservation. A script that populates at least 300 reservations (e.g. use `faker`)\n", + "\n", + "4. The functions `checkin(room, date)` and `checkout(room, date)` to check guests in and out. Write a script that invokes `checkin` and `checkout` for a buncha guests. Demonstrate that that the functions enforces the rules of the business.\n", + "\n", + "5. Write a query to list all guests who have stayed in a given room in 2021.\n", + "\n", + "6. Write a query to list all dates on which a specific guest stayed at the hotel.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "33e46762", + "metadata": {}, + "source": [ + "# Define the database" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "fc703fb8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-24 22:24:39,860][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-24 22:24:39,868][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "schema = dj.Schema('hotel')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "62d97e04", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Room(dj.Manual):\n", + " definition = \"\"\"\n", + " room : int\n", + " --- \n", + " room_type : enum('Deluxe', 'Suite')\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "280e7440", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class RoomAvailable(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Room\n", + " date : date \n", + " ---\n", + " price : decimal(6, 2)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "dc952e39", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Guest(dj.Manual):\n", + " definition = \"\"\"\n", + " guest_id : int unsigned\n", + " --- \n", + " guest_name : varchar(60)\n", + " index(guest_name)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "14929f5b", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Reservation(dj.Manual):\n", + " definition = \"\"\"\n", + " -> RoomAvailable\n", + " ---\n", + " -> Guest\n", + " credit_card : varchar(80)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "61f03f74", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class CheckIn(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Reservation\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c163c97c", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class CheckOut(dj.Manual):\n", + " definition = \"\"\"\n", + " -> CheckIn\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c98936a8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest->Reservation\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation->CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Room->RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable->Reservation\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn->CheckOut\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "id": "3bab6ec9", + "metadata": {}, + "source": [ + "# Populate Room Availability" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "64060872", + "metadata": {}, + "outputs": [], + "source": [ + "import faker\n", + "import random\n", + "import datetime\n", + "import tqdm\n", + "fake = faker.Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "281c8ca7", + "metadata": {}, + "outputs": [], + "source": [ + "# populate rooms\n", + "Room.insert((i, \"Deluxe\" if i%2 else \"Suite\") for i in range(80))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "86bc4436", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45/45 [00:02<00:00, 21.22it/s]\n" + ] + } + ], + "source": [ + "# Populate Room availability: 45 days starting on start_date\n", + "start_date = datetime.date(2021, 10, 1)\n", + "days = 45\n", + "\n", + "for day in tqdm.tqdm(range(days)):\n", + " price = random.randint(40, 350) \n", + " RoomAvailable.insert(\n", + " dict(key, \n", + " date=start_date + datetime.timedelta(days=day), \n", + " price=price) for key in Room.fetch('KEY'))\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "4deda107", + "metadata": {}, + "source": [ + "# Functions " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "48470620", + "metadata": {}, + "outputs": [], + "source": [ + "class HotelException(Exception): pass\n", + "class RoomUnavailable(HotelException): pass\n", + "class RoomAlreadyReserved(HotelException): pass\n", + "class AlreadyChecked(HotelException): pass\n", + "class NoReservation(HotelException): pass\n", + "class NotCheckedIn(HotelException): pass" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5603309c", + "metadata": {}, + "outputs": [], + "source": [ + "def reserve_room(room, date, guest_name, credit_card):\n", + " # lookup guest by name\n", + " keys = (Guest & {'guest_name': guest_name}).fetch('KEY')\n", + " \n", + " if keys:\n", + " # if multiple found, use the first, for example\n", + " key = keys[0] \n", + " else:\n", + " # if not registered before, create a new guest id\n", + " key = dict(guest_id=random.randint(0, 2**32-1))\n", + " Guest.insert1(dict(key, guest_name=guest_name))\n", + " \n", + " try:\n", + " Reservation.insert1(\n", + " dict(key, room=room, date=date, credit_card=credit_card))\n", + " except dj.errors.DuplicateError:\n", + " raise RoomAlreadyReserved(room, date.isoformat()) from None\n", + " except dj.errors.IntegrityError:\n", + " raise RoomUnavailable(room, date.isoformat()) from None" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "fd3b9e30", + "metadata": {}, + "outputs": [], + "source": [ + "def check_in(room, date):\n", + " try:\n", + " CheckIn.insert1(dict(room=room, date=date))\n", + " except dj.errors.DuplicateError:\n", + " raise AlreadyChecked(room, date.isoformat()) from None\n", + " except dj.errors.IntegrityError:\n", + " raise NoReservation(room, date.isoformat()) from None" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "09e340e2", + "metadata": {}, + "outputs": [], + "source": [ + "def check_out(room, date):\n", + " try:\n", + " CheckOut.insert1(dict(room=room, date=date))\n", + " except dj.errors.DuplicateError:\n", + " raise AlreadyChecked(room, date.isoformat()) from None\n", + " except dj.errors.IntegrityError:\n", + " raise NotCheckedIn(room, date.isoformat()) from None" + ] + }, + { + "cell_type": "markdown", + "id": "60740817", + "metadata": {}, + "source": [ + "# Operations" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "8dbad565", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 1%| | 1/100 [00:00<00:36, 2.72it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomUnavailable(80, '2021-10-14')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 5%|▌ | 5/100 [00:01<00:37, 2.54it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomUnavailable(80, '2021-11-07')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 7%|▋ | 7/100 [00:02<00:25, 3.60it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomUnavailable(80, 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'2021-10-09')\n", + "RoomAlreadyReserved(70, '2021-10-16')\n", + "RoomAlreadyReserved(67, '2021-10-11')\n", + "RoomAlreadyReserved(58, '2021-10-09')\n", + "RoomAlreadyReserved(15, '2021-11-11')\n", + "RoomAlreadyReserved(3, '2021-10-17')\n", + "RoomUnavailable(80, '2021-10-27')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 95%|█████████▌| 95/100 [00:27<00:01, 3.77it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(63, '2021-11-14')\n", + "RoomAlreadyReserved(46, '2021-10-10')\n", + "RoomAlreadyReserved(27, '2021-10-19')\n", + "RoomAlreadyReserved(30, '2021-10-28')\n", + "RoomAlreadyReserved(2, '2021-11-04')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 96/100 [00:28<00:01, 3.12it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(10, '2021-10-27')\n", + "RoomAlreadyReserved(5, '2021-10-12')\n", + "RoomAlreadyReserved(62, '2021-10-26')\n", + "RoomAlreadyReserved(44, '2021-10-08')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 97%|█████████▋| 97/100 [00:28<00:00, 3.24it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(27, '2021-10-09')\n", + "RoomAlreadyReserved(43, '2021-11-04')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 98%|█████████▊| 98/100 [00:28<00:00, 3.74it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(10, '2021-10-06')\n", + "RoomAlreadyReserved(54, '2021-10-08')\n", + "RoomAlreadyReserved(41, '2021-10-22')\n", + "RoomAlreadyReserved(67, '2021-10-19')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 100/100 [00:29<00:00, 3.39it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(36, '2021-11-03')\n" + ] + }, + { 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3342266079Aaron Bradley
3320236962Alison Burke
1060653779Amanda Kim
1347060425Anthony Jackson
3664806043Anthony Santana
3594289303Barbara Mcintyre
171664340Caitlin Little
4223113568Carol Patel
3592385568Charles Neal
2453762139Christina Meyer
3976771105Christine Wilson
1575600856Christopher Meyer
\n", + "

...

\n", + "

Total: 100

\n", + " " + ], + "text/plain": [ + "*guest_id guest_name \n", + "+------------+ +------------+\n", + "3342266079 Aaron Bradley \n", + "3320236962 Alison Burke \n", + "1060653779 Amanda Kim \n", + "1347060425 Anthony Jackso\n", + "3664806043 Anthony Santan\n", + "3594289303 Barbara Mcinty\n", + "171664340 Caitlin Little\n", + "4223113568 Carol Patel \n", + "3592385568 Charles Neal \n", + "2453762139 Christina Meye\n", + "3976771105 Christine Wils\n", + "1575600856 Christopher Me\n", + " ...\n", + " (Total: 100)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Guest()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "81a75c55", + "metadata": {}, + "outputs": [ + { + "ename": "NoReservation", + "evalue": "(2, '2021-10-02')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNoReservation\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[18], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m# Try check in\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m check_in(\u001b[39m2\u001b[39;49m, datetime\u001b[39m.\u001b[39;49mdate(\u001b[39m2021\u001b[39;49m, \u001b[39m10\u001b[39;49m, \u001b[39m2\u001b[39;49m))\n", + "Cell \u001b[0;32mIn[14], line 7\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[39mraise\u001b[39;00m AlreadyChecked(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[39mraise\u001b[39;00m NoReservation(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n", + "\u001b[0;31mNoReservation\u001b[0m: (2, '2021-10-02')" + ] + } + ], + "source": [ + "# Try check in\n", + "check_in(2, datetime.date(2021, 10, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "8efc7fac", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 777/777 [00:22<00:00, 33.91it/s]\n" + ] + } + ], + "source": [ + "# checkin a bunch of people\n", + "checkins = random.sample(Reservation().fetch('KEY'), k=int(0.9*len(Reservation())))\n", + "for r in tqdm.tqdm(checkins):\n", + " try: \n", + " check_in(**r)\n", + " except AlreadyChecked as e:\n", + " print(repr(e))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec862447", + "metadata": {}, + "outputs": [], + "source": [ + "CheckIn()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2faabb54", + "metadata": {}, + "outputs": [], + "source": [ + "# Try duplicate checkin\n", + "check_in(**checkins[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5236b125", + "metadata": {}, + "outputs": [], + "source": [ + "# Try checkout\n", + "\n", + "check_out(2, datetime.date(2021, 10, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85a3a740", + "metadata": {}, + "outputs": [], + "source": [ + "# checkout a bunch of people\n", + "checkouts = random.sample(CheckIn().fetch('KEY'), k=int(0.9*len(CheckIn())))\n", + "for r in tqdm.tqdm(checkouts):\n", + " try:\n", + " check_out(**r)\n", + " except AlreadyChecked as e:\n", + " print repr(e)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5151ae4b", + "metadata": {}, + "outputs": [], + "source": [ + "# try duplicate checkout\n", + "\n", + "check_out(**checkouts[0])" + ] + }, + { + "cell_type": "markdown", + "id": "4ebd1fd9", + "metadata": {}, + "source": [ + "# Queries \n", + "\n", + "## Query 1: List all guests who have stayed in room 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa181a79", + "metadata": {}, + "outputs": [], + "source": [ + "Guest & (Reservation & (CheckIn & 'room=1'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e9891efc", + "metadata": {}, + "outputs": [], + "source": [ + "Guest & (Reservation * CheckIn & 'room=1')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d24bccfb", + "metadata": {}, + "outputs": [], + "source": [ + "_.make_sql()" + ] + }, + { + "cell_type": "markdown", + "id": "d281a8f4", + "metadata": {}, + "source": [ + "## Query 2: List all nights when a guest stayed at a hotel" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "37156855", + "metadata": {}, + "outputs": [], + "source": [ + "# pick a guest\n", + "guest = random.choice(Guest().fetch('KEY'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f166cbe4", + "metadata": {}, + "outputs": [], + "source": [ + "guest" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "63504e50", + "metadata": {}, + "outputs": [], + "source": [ + "(Reservation * CheckIn & guest).proj()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6f8d93df", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/db-course/004-DatabaseUniversity.ipynb b/db-course/004-DatabaseUniversity.ipynb new file mode 100644 index 0000000..1d89d00 --- /dev/null +++ b/db-course/004-DatabaseUniversity.ipynb @@ -0,0 +1,1352 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Define" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-24 22:32:02,970][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-24 22:32:02,977][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "schema = dj.schema('university')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " student_id : int unsigned # university-wide ID number\n", + " ---\n", + " first_name : varchar(40)\n", + " last_name : varchar(40)\n", + " sex : enum('F', 'M', 'U')\n", + " date_of_birth : date\n", + " home_address : varchar(120) # mailing street address\n", + " home_city : varchar(60) # mailing address\n", + " home_state : char(2) # US state acronym: e.g. OH\n", + " home_zip : char(10) # zipcode e.g. 93979-4979\n", + " home_phone : varchar(20) # e.g. 414.657.6883x0881\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Department(dj.Manual):\n", + " definition = \"\"\"\n", + " dept : varchar(6) # abbreviated department name, e.g. BIOL\n", + " ---\n", + " dept_name : varchar(200) # full department name\n", + " dept_address : varchar(200) # mailing address\n", + " dept_phone : varchar(20)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class StudentMajor(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " ---\n", + " -> Department\n", + " declare_date : date # when student declared her major\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "@schema\n", + "class Course(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Department\n", + " course : int unsigned # course number, e.g. 1010\n", + " ---\n", + " course_name : varchar(200) # e.g. \"Neurobiology of Sensation and Movement.\"\n", + " credits : decimal(3,1) # number of credits earned by completing the course\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Term(dj.Manual):\n", + " definition = \"\"\"\n", + " term_year : year\n", + " term : enum('Spring', 'Summer', 'Fall')\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Section(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Course\n", + " -> Term\n", + " section : char(1)\n", + " ---\n", + " auditorium : varchar(12)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class CurrentTerm(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Term\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Enroll(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " -> Section\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class LetterGrade(dj.Manual):\n", + " definition = \"\"\"\n", + " grade : char(2)\n", + " ---\n", + " points : decimal(3,2)\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Grade(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Enroll\n", + " ---\n", + " -> LetterGrade\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->Course\n", + "\n", + "\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->Section\n", + "\n", + "\n", + "\n", + "\n", + "Course->Section\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Enroll->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Section->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Student->Enroll\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "import faker\n", + "import random\n", + "import itertools\n", + "import datetime\n", + "fake = faker.Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def yield_students():\n", + " fake_name = {'F': fake.name_female, 'M': fake.name_male}\n", + " while True: # ignore invalid values\n", + " try:\n", + " sex = random.choice(('F', 'M'))\n", + " first_name, last_name = fake_name[sex]().split(' ')[:2]\n", + " street_address, city = fake.address().split('\\n')\n", + " city, state = city.split(', ')\n", + " state, zipcode = state.split(' ') \n", + " except ValueError:\n", + " continue\n", + " else:\n", + " yield dict(\n", + " first_name=first_name,\n", + " last_name=last_name,\n", + " sex=sex,\n", + " home_address=street_address,\n", + " home_city=city,\n", + " home_state=state,\n", + " home_zip=zipcode,\n", + " date_of_birth=str(\n", + " fake.date_time_between(start_date=\"-35y\", end_date=\"-15y\").date()),\n", + " home_phone = fake.phone_number()[:20])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "Student.insert(\n", + " dict(k, student_id=i) for i, k in zip(range(100,300), yield_students()))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
100DavidWarrenM2007-05-28328 Trevino ClubSouth BrittanyAR857669867288695
101DonaldDavisM2005-05-115507 Kevin Road Apt. 158JenniferhavenPW28061384.891.3097x907
102LoganCarterM1991-06-0680648 Phillips Manors Apt. 363CarsonmouthTN89169(931)654-8377
103AndreaJonesF1990-04-100728 Amy PlainMillertownND67142+1-891-317-9091
104AngelaStevensF1990-02-1967714 Hicks Courts Suite 791HeidistadIN57838721.306.0389x29709
105BrittneyMeyerF1997-04-012533 Colon Vista Suite 094East GregorytonIA47281512.492.0549
106ScottRossM1990-06-291360 Vanessa Ports Apt. 444East AndrewbergCA49351001-938-490-4120
107RicardoFloresM1996-08-031895 Dawn DamTimothyvilleCA71637(601)212-1426x18191
108RyanRobersonM1996-07-0416777 Reynolds BrooksSouth JosephburyAS90614498.835.4430x65848
109TimothyAndersonM1993-08-045427 Roy MeadowPort HeatherbergGU69501548.737.6679x066
110CaitlinOrtizF1989-06-253264 Mark Stravenue Apt. 136West MorganWY59797(578)793-4109x339
111SusanCooperF2007-06-226939 Savannah Forges Suite 253West MeganburghWV11501+1-369-687-3678x193
\n", + "

...

\n", + "

Total: 200

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 David Warren M 2007-05-28 328 Trevino Cl South Brittany AR 85766 9867288695 \n", + "101 Donald Davis M 2005-05-11 5507 Kevin Roa Jenniferhaven PW 28061 384.891.3097x9\n", + "102 Logan Carter M 1991-06-06 80648 Phillips Carsonmouth TN 89169 (931)654-8377 \n", + "103 Andrea Jones F 1990-04-10 0728 Amy Plain Millertown ND 67142 +1-891-317-909\n", + "104 Angela Stevens F 1990-02-19 67714 Hicks Co Heidistad IN 57838 721.306.0389x2\n", + "105 Brittney Meyer F 1997-04-01 2533 Colon Vis East Gregoryto IA 47281 512.492.0549 \n", + "106 Scott Ross M 1990-06-29 1360 Vanessa P East Andrewber CA 49351 001-938-490-41\n", + "107 Ricardo Flores M 1996-08-03 1895 Dawn Dam Timothyville CA 71637 (601)212-1426x\n", + "108 Ryan Roberson M 1996-07-04 16777 Reynolds South Josephbu AS 90614 498.835.4430x6\n", + "109 Timothy Anderson M 1993-08-04 5427 Roy Meado Port Heatherbe GU 69501 548.737.6679x0\n", + "110 Caitlin Ortiz F 1989-06-25 3264 Mark Stra West Morgan WY 59797 (578)793-4109x\n", + "111 Susan Cooper F 2007-06-22 6939 Savannah West Meganburg WV 11501 +1-369-687-367\n", + " ...\n", + " (Total: 200)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Student()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "Department.insert(\n", + " dict(dept=dept, \n", + " dept_name=name, \n", + " dept_address=fake.address(), \n", + " dept_phone=fake.phone_number()[:20])\n", + " for dept, name in [\n", + " [\"CS\", \"Computer Science\"],\n", + " [\"BIOL\", \"Life Sciences\"],\n", + " [\"PHYS\", \"Physics\"],\n", + " [\"MATH\", \"Mathematics\"]])" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "StudentMajor.insert({**s, **d, \n", + " 'declare_date':fake.date_between(start_date=datetime.date(1999,1,1))}\n", + " for s, d in zip(Student.fetch('KEY'), random.choices(Department.fetch('KEY'), k=len(Student())))\n", + " if random.random() < 0.75)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

declare_date

\n", + " when student declared her major\n", + "
100MATH2018-07-22
101MATH2003-10-23
102MATH2003-01-04
103MATH2013-07-02
104BIOL2005-11-22
105MATH2022-05-08
107MATH2019-05-03
108PHYS2016-11-14
109MATH2012-12-18
111CS2012-06-21
112PHYS2005-10-25
114MATH2018-09-17
\n", + "

...

\n", + "

Total: 149

\n", + " " + ], + "text/plain": [ + "*student_id dept declare_date \n", + "+------------+ +------+ +------------+\n", + "100 MATH 2018-07-22 \n", + "101 MATH 2003-10-23 \n", + "102 MATH 2003-01-04 \n", + "103 MATH 2013-07-02 \n", + "104 BIOL 2005-11-22 \n", + "105 MATH 2022-05-08 \n", + "107 MATH 2019-05-03 \n", + "108 PHYS 2016-11-14 \n", + "109 MATH 2012-12-18 \n", + "111 CS 2012-06-21 \n", + "112 PHYS 2005-10-25 \n", + "114 MATH 2018-09-17 \n", + " ...\n", + " (Total: 149)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "StudentMajor()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# from https://www.utah.edu/\n", + "Course.insert([\n", + " ['BIOL', 1006, 'World of Dinosaurs', 3],\n", + " ['BIOL', 1010, 'Biology in the 21st Century', 3],\n", + " ['BIOL', 1030, 'Human Biology', 3],\n", + " ['BIOL', 1210, 'Principles of Biology', 4],\n", + " ['BIOL', 2010, 'Evolution & Diversity of Life', 3],\n", + " ['BIOL', 2020, 'Principles of Cell Biology', 3],\n", + " ['BIOL', 2021, 'Principles of Cell Science', 4],\n", + " ['BIOL', 2030, 'Principles of Genetics', 3],\n", + " ['BIOL', 2210, 'Human Genetics',3],\n", + " ['BIOL', 2325, 'Human Anatomy', 4],\n", + " ['BIOL', 2330, 'Plants & Society', 3],\n", + " ['BIOL', 2355, 'Field Botany', 2],\n", + " ['BIOL', 2420, 'Human Physiology', 4],\n", + "\n", + " ['PHYS', 2040, 'Classcal Theoretical Physics II', 4],\n", + " ['PHYS', 2060, 'Quantum Mechanics', 3],\n", + " ['PHYS', 2100, 'General Relativity and Cosmology', 3],\n", + " ['PHYS', 2140, 'Statistical Mechanics', 4],\n", + " \n", + " ['PHYS', 2210, 'Physics for Scientists and Engineers I', 4], \n", + " ['PHYS', 2220, 'Physics for Scientists and Engineers II', 4],\n", + " ['PHYS', 3210, 'Physics for Scientists I (Honors)', 4],\n", + " ['PHYS', 3220, 'Physics for Scientists II (Honors)', 4],\n", + " \n", + " ['MATH', 1250, 'Calculus for AP Students I', 4],\n", + " ['MATH', 1260, 'Calculus for AP Students II', 4],\n", + " ['MATH', 1210, 'Calculus I', 4],\n", + " ['MATH', 1220, 'Calculus II', 4],\n", + " ['MATH', 2210, 'Calculus III', 3],\n", + " \n", + " ['MATH', 2270, 'Linear Algebra', 4],\n", + " ['MATH', 2280, 'Introduction to Differential Equations', 4],\n", + " ['MATH', 3210, 'Foundations of Analysis I', 4],\n", + " ['MATH', 3220, 'Foundations of Analysis II', 4],\n", + " \n", + " ['CS', 1030, 'Foundations of Computer Science', 3],\n", + " ['CS', 1410, 'Introduction to Object-Oriented Programming', 4],\n", + " ['CS', 2420, 'Introduction to Algorithms & Data Structures', 4],\n", + " ['CS', 2100, 'Discrete Structures', 3],\n", + " ['CS', 3500, 'Software Practice', 4],\n", + " ['CS', 3505, 'Software Practice II', 3],\n", + " ['CS', 3810, 'Computer Organization', 4],\n", + " ['CS', 4400, 'Computer Systems', 4],\n", + " ['CS', 4150, 'Algorithms', 3],\n", + " ['CS', 3100, 'Models of Computation', 3],\n", + " ['CS', 3200, 'Introduction to Scientific Computing', 3],\n", + " ['CS', 4000, 'Senior Capstone Project - Design Phase', 3],\n", + " ['CS', 4500, 'Senior Capstone Project', 3],\n", + " ['CS', 4940, 'Undergraduate Research', 3],\n", + " ['CS', 4970, 'Computer Science Bachelor''s Thesis', 3]])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Term.insert(dict(term_year=year, term=term) \n", + " for year in range(1999, 2019) \n", + " for term in ['Spring', 'Summer', 'Fall'])\n", + "\n", + "Term().fetch(order_by=('term_year DESC', 'term DESC'), as_dict=True, limit=1)[0]\n", + "\n", + "CurrentTerm().insert1({\n", + " **Term().fetch(order_by=('term_year DESC', 'term DESC'), as_dict=True, limit=1)[0]})\n", + "\n", + "def make_section(prob):\n", + " for c in (Course * Term).proj():\n", + " for sec in 'abcd':\n", + " if random.random() < prob:\n", + " break\n", + " yield {\n", + " **c, 'section': sec, \n", + " 'auditorium': random.choice('ABCDEF') + str(random.randint(1,100))} \n", + "\n", + "Section.insert(make_section(0.5))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "LetterGrade.insert([\n", + " ['A', 4.00],\n", + " ['A-', 3.67],\n", + " ['B+', 3.33],\n", + " ['B', 3.00],\n", + " ['B-', 2.67],\n", + " ['C+', 2.33],\n", + " ['C', 2.00],\n", + " ['C-', 1.67],\n", + " ['D+', 1.33],\n", + " ['D', 1.00],\n", + " ['F', 0.00]])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "LetterGrade()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment \n", + "terms = Term().fetch('KEY')\n", + "quit_prob = 0.1\n", + "for student in tqdm(Student.fetch('KEY')):\n", + " start_term = random.randrange(len(terms))\n", + " for term in terms[start_term:]:\n", + " if random.random() < quit_prob:\n", + " break\n", + " else:\n", + " sections = ((Section & term) - (Course & (Enroll & student))).fetch('KEY')\n", + " if sections:\n", + " Enroll.insert({**student, **section} for section in \n", + " random.sample(sections, random.randrange(min(5, len(sections)))))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# assign random grades\n", + "grades = LetterGrade.fetch('grade')\n", + "\n", + "grade_keys = Enroll.fetch('KEY')\n", + "random.shuffle(grade_keys)\n", + "grade_keys = grade_keys[:len(grade_keys)*9//10]\n", + "\n", + "Grade.insert({**key, 'grade':grade} \n", + " for key, grade in zip(grade_keys, random.choices(grades, k=len(grade_keys))))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Enroll()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Queries" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Restriction" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students from Texas\n", + "Student & {'home_state': 'TX'}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Student & 'home_state=\"TX\"'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Male students from outside Texas\n", + "(Student & 'sex=\"M\"') - {'home_state': 'TX'}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students from TX, OK, or NM\n", + "Student & [{'home_state':'OK'}, {'home_state':'NM'}, {'home_state':'TX'}] " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Millenials\n", + "millennials = Student & 'date_of_birth between \"1981-01-01\" and \"1996-12-31\"'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "millennials" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students who have taken classes\n", + "Student & Enroll" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Millenials who have never enrolled\n", + "millennials - Enroll" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students who have not taken classes\n", + "Student - Enroll" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students who have taken Biology classes but no MATH courses\n", + "(Student & (Enroll & 'dept=\"BIOL\"')) - (Enroll & 'dept=\"MATH\"')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students who have not selected a major\n", + "Student - StudentMajor" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students who are taking courses in the current term\n", + "Student - (Enroll & CurrentTerm)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "(Student - (Enroll & CurrentTerm)).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ungraded courses\n", + "Enroll - Grade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Ungraded courses in the current term\n", + "(Enroll & CurrentTerm) - Grade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students who have taken classes and have chosen a major\n", + "(Student & Enroll & StudentMajor)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Students who have taken classes or have chosen a major\n", + "Student & [Enroll, StudentMajor]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment in courses from the same department as the students' major\n", + "Enroll & StudentMajor" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Join" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Grade point values\n", + "Grade * LetterGrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Graded enrollments with complete course and student information\n", + "Student * Enroll * Course * Section * Grade * LetterGrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment with major information\n", + "Enroll * StudentMajor.proj(major='dept')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment outside chosen major\n", + "Enroll * StudentMajor.proj(major='dept') & 'major<>dept'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment not matching major \n", + "Enroll - StudentMajor " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Total grade points\n", + "(Course * Grade * LetterGrade).proj(total='points*credits')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Aggr" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students in each section\n", + "Section.aggr(Enroll, n='count(*)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Average grade in each course\n", + "Course.aggr(Grade*LetterGrade, avg_grade='avg(points)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Fraction graded in each section\n", + "(Section.aggr(Enroll,n='count(*)') * Section.aggr(Grade, m='count(*)')).proj(\n", + " 'm','n',frac='m/n')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Student GPA\n", + "Student.aggr(Course * Grade * LetterGrade, \n", + " gpa='sum(points*credits)/sum(credits)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Average GPA for each major\n", + "gpa = Student.aggr(Course * Grade * LetterGrade,\n", + " gpa='sum(points*credits)/sum(credits)')\n", + "Department.aggr(StudentMajor*gpa, avg_gpa='avg(gpa)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/006-Joins-HW.ipynb b/db-course/006-Joins-HW.ipynb index 4126b46..ae88eaa 100644 --- a/db-course/006-Joins-HW.ipynb +++ b/db-course/006-Joins-HW.ipynb @@ -2,18 +2,9 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 10, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-24 14:45:37,414][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-24 14:45:37,422][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], + "outputs": [], "source": [ "import datajoint as dj\n", "\n", @@ -21,172 +12,178 @@ "sales.spawn_missing_classes()\n", "\n", "nations = dj.Schema('nation')\n", - "nations.spawn_missing_classes()" + "nations.spawn_missing_classes()\n", + "\n", + "hotel = dj.Schema('hotel')\n", + "hotel.spawn_missing_classes()\n", + "\n", + "university = dj.Schema('university')\n", + "university.spawn_missing_classes()" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "0\n", - "\n", - "0\n", + "7\n", + "\n", + "7\n", "\n", - "\n", - "\n", - "Customer\n", - "\n", - "\n", - "Customer\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "0->Customer\n", - "\n", + "7->Report\n", + "\n", "\n", - "\n", + "\n", "\n", - "1\n", - "\n", - "1\n", + "6\n", + "\n", + "6\n", "\n", - "\n", - "\n", - "Report\n", - "\n", - "\n", - "Report\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "Customer\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "1->Report\n", - "\n", + "6->Customer\n", + "\n", "\n", - "\n", - "\n", - "ProductLine\n", - "\n", - "\n", - "ProductLine\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", "\n", "\n", "\n", - "\n", - "\n", - "Product\n", - "\n", - "\n", - "Product\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "ProductLine->Product\n", - "\n", + "Customer->Order\n", + "\n", "\n", - "\n", + "\n", "\n", - "Order.Item\n", - "\n", - "\n", - "Order.Item\n", + "Payment\n", + "\n", + "\n", + "Payment\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Product->Order.Item\n", - "\n", + "Customer->Payment\n", + "\n", "\n", - "\n", - "\n", - "Payment\n", - "\n", - "\n", - "Payment\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", "\n", "\n", "\n", - "\n", - "\n", - "Order\n", - "\n", - "\n", - "Order\n", - "\n", + "\n", + "\n", + "Employee->7\n", + "\n", "\n", + "\n", + "\n", + "Employee->6\n", + "\n", "\n", "\n", - "\n", + "\n", "Order->Order.Item\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "Office\n", - "\n", - "\n", - "Office\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Employee\n", - "\n", - "\n", - "Employee\n", + "\n", + "\n", + "Office\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Office->Employee\n", - "\n", + "\n", "\n", - "\n", - "\n", - "Employee->0\n", - "\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", + "\n", "\n", - "\n", - "\n", - "Employee->1\n", - "\n", "\n", - "\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "\n", + "\n", "\n", - "Customer->Payment\n", - "\n", + "ProductLine->Product\n", + "\n", "\n", - "\n", + "\n", "\n", - "Customer->Order\n", - "\n", + "Product->Order.Item\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 2, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -197,59 +194,45 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Countries\n", - "\n", - "\n", - "Countries\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CountryLanguages\n", - "\n", - "\n", - "CountryLanguages\n", + "Continents\n", + "\n", + "\n", + "Continents\n", "\n", "\n", "\n", - "\n", - "\n", - "Countries->CountryLanguages\n", - "\n", - "\n", - "\n", + "\n", "\n", - "CountryStats\n", - "\n", - "\n", - "CountryStats\n", + "Regions\n", + "\n", + "\n", + "Regions\n", "\n", "\n", "\n", - "\n", - "\n", - "Countries->CountryStats\n", - "\n", + "\n", + "\n", + "Continents->Regions\n", + "\n", "\n", "\n", "\n", "Guests\n", "\n", - "\n", - "Guests\n", + "\n", + "Guests\n", "\n", "\n", "\n", @@ -257,67 +240,356 @@ "\n", "RegionAreas\n", "\n", - "\n", - "RegionAreas\n", + "\n", + "RegionAreas\n", "\n", "\n", "\n", - "\n", + "\n", "\n", + "CountryStats\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "\n", "Languages\n", - "\n", - "\n", - "Languages\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "CountryLanguages\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Languages->CountryLanguages\n", - "\n", + "\n", "\n", - "\n", - "\n", - "Regions\n", - "\n", - "\n", - "Regions\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "Countries\n", "\n", "\n", "\n", - "\n", + "\n", + "\n", + "Countries->CountryStats\n", + "\n", + "\n", + "\n", "\n", + "Countries->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", "Regions->Countries\n", - "\n", + "\n", "\n", - "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(nations)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Room->RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation->CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn->CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable->Reservation\n", + "\n", + "\n", + "\n", "\n", - "Continents\n", - "\n", - "\n", - "Continents\n", + "Guest\n", + "\n", + "\n", + "Guest\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Continents->Regions\n", - "\n", + "Guest->Reservation\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 5, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dj.Diagram(nations)" + "dj.Diagram(hotel)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Section->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Course->Section\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->Section\n", + "\n", + "\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "Enroll->Grade\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->Course\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(university)" ] }, { diff --git a/db-course/006-JoinsSQL.ipynb b/db-course/006-JoinsSQL.ipynb index 34d4729..cd0cfa2 100644 --- a/db-course/006-JoinsSQL.ipynb +++ b/db-course/006-JoinsSQL.ipynb @@ -2,28 +2,24 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sql extension is already loaded. To reload it, use:\n", + " %reload_ext sql\n" + ] + } + ], "source": [ "import pymysql\n", "pymysql.install_as_MySQLdb()\n", - "\n", "%load_ext sql\n", "%config SqlMagic.autocommit=True\n", - "\n", - "connection_string = \"mysql://root:simple@127.0.0.1\"\n", - "\n", - "%sql $connection_string" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "%sql $connection_string" + "%sql mysql://root:simple@127.0.0.1" ] }, { diff --git a/db-course/GroupBy.ipynb b/db-course/007-Aggregation.ipynb similarity index 86% rename from db-course/GroupBy.ipynb rename to db-course/007-Aggregation.ipynb index cc592c2..6ec2ccd 100644 --- a/db-course/GroupBy.ipynb +++ b/db-course/007-Aggregation.ipynb @@ -39,23 +39,15 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import json\n", - "import pymysql \n", - "\n", + "import pymysql\n", "pymysql.install_as_MySQLdb()\n", - "\n", - "with open('cred.json') as f:\n", - " creds = json.load(f)\n", - "\n", - "connection_string = \"mysql://{user}:{password}@{host}\".format(**creds)\n", - "\n", "%load_ext sql\n", "%config SqlMagic.autocommit=True\n", - "%sql $connection_string" + "%sql mysql://root:simple@127.0.0.1" ] }, { @@ -86,17 +78,17 @@ "\n", "\n", "airport.Flight\n", - "\n", "\n", "airport.Flight\n", @@ -128,12 +120,12 @@ "\n", "\n", "airport.Airline\n", - "\n", "\n", "airport.Airline\n", @@ -154,20 +146,20 @@ "\n", "\n", "airport.Flightschedule\n", - "\n", "\n", "airport.Flightschedule\n", @@ -193,13 +185,13 @@ "\n", "\n", "airport.Booking\n", - "\n", "\n", "airport.Booking\n", @@ -209,9 +201,9 @@ "\n", "\n", "airport.AirportReachable\n", - "\n", "\n", "airport.AirportReachable\n", @@ -221,11 +213,11 @@ "\n", "\n", "airport.Airplane\n", - "\n", "\n", "airport.Airplane\n", @@ -240,16 +232,16 @@ "\n", "\n", "airport.Passengerdetails\n", - "\n", "\n", "airport.Passengerdetails\n", @@ -264,23 +256,23 @@ "\n", "\n", "airport.Employee\n", - "\n", "\n", "airport.Employee\n", @@ -290,11 +282,11 @@ "\n", "\n", "airport.AirplaneType\n", - "\n", "\n", "airport.AirplaneType\n", @@ -319,14 +311,14 @@ "\n", "\n", "airport.Airport\n", - "\n", "\n", "airport.Airport\n", @@ -366,13 +358,13 @@ "\n", "\n", "airport.AirportGeo\n", - "\n", "\n", "airport.AirportGeo\n", @@ -387,16 +379,16 @@ "\n", "\n", "airport.Weatherdata\n", - "\n", "\n", "airport.Weatherdata\n", @@ -406,12 +398,12 @@ "\n", "\n", "airport.Passenger\n", - "\n", "\n", "airport.Passenger\n", @@ -436,11 +428,11 @@ "\n", "\n", "sales.ProductVendor\n", - "\n", "\n", "sales.ProductVendor\n", @@ -450,9 +442,9 @@ "\n", "\n", "sales.Category\n", - "\n", "\n", "sales.Category\n", @@ -462,13 +454,13 @@ "\n", "\n", "sales.Product\n", - "\n", "\n", "sales.Product\n", @@ -483,17 +475,17 @@ "\n", "\n", "sales.Vendor\n", - "\n", "\n", "sales.Vendor\n", @@ -508,19 +500,19 @@ "\n", "\n", "sales.Employee\n", - "\n", "\n", "sales.Employee\n", @@ -530,12 +522,12 @@ "\n", "\n", "sales.Order\n", - "\n", "\n", "sales.Order\n", @@ -555,11 +547,11 @@ "\n", "\n", "sales.Order.Item\n", - "\n", "\n", "sales.Order.Item\n", @@ -579,18 +571,18 @@ "\n", "\n", "sales.Customer\n", - "\n", "\n", "sales.Customer\n", @@ -635,18 +627,18 @@ "\n", "\n", "sales.Customer\n", - "\n", "\n", "sales.Customer\n", @@ -656,12 +648,12 @@ "\n", "\n", "sales.Order\n", - "\n", "\n", "sales.Order\n", @@ -676,17 +668,17 @@ "\n", "\n", "sales.Vendor\n", - "\n", "\n", "sales.Vendor\n", @@ -696,11 +688,11 @@ "\n", "\n", "sales.ProductVendor\n", - "\n", "\n", "sales.ProductVendor\n", @@ -715,11 +707,11 @@ "\n", "\n", "sales.Order.Item\n", - "\n", "\n", "sales.Order.Item\n", @@ -734,9 +726,9 @@ "\n", "\n", "sales.Category\n", - "\n", "\n", "sales.Category\n", @@ -746,13 +738,13 @@ "\n", "\n", "sales.Product\n", - "\n", "\n", "sales.Product\n", @@ -777,19 +769,19 @@ "\n", "\n", "sales.Employee\n", - "\n", "\n", "sales.Employee\n", @@ -1904,9 +1896,9 @@ ], "metadata": { "kernelspec": { - "display_name": "benv", + "display_name": "Python 3", "language": "python", - "name": "benv" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -1918,7 +1910,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.9.17" } }, "nbformat": 4, diff --git a/db-course/Hotel.ipynb b/db-course/Hotel.ipynb deleted file mode 100644 index 11ff355..0000000 --- a/db-course/Hotel.ipynb +++ /dev/null @@ -1,2340 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "6e26075b", - "metadata": {}, - "source": [ - "# Hotel Database\n", - "## Assignment\n", - "\n", - "Design, populate, and query a database for a hotel reservation system with the following business rules:\n", - "\n", - "1. The hotel has a number of rooms of two types: Deluxe and Suite\n", - "2. For every night, some rooms are made available for reservation for a specific price.\n", - "3. A guest can make a reservation for an avavilable room for one night. The reservation must include credit card payment info. At most one reservation can be made per night per room.\n", - "4. A guest can check into a room that has been reserved. An attempt to check in without a reservation will generate an error.\n", - "5. A guest can check out only after checking in. An attempt to check out multiple times or check out without checking in will generate an error.\n", - "\n", - "Your Python code should provide the following:\n", - "\n", - "1. A section to create the tables. The design must be in 3rd normal form following the conventions discussed in class and enforcing the business rules above.\n", - "\n", - "2. Provide code to populate rooms and room availability with prices.\n", - "\n", - "3. The function `reserve_room(room, date, guest_name, credit_card)` to make a reservation. A script that populates at least 300 reservations (e.g. use `faker`)\n", - "\n", - "4. The functions `checkin(room, date)` and `checkout(room, date)` to check guests in and out. Write a script that invokes `checkin` and `checkout` for a buncha guests. Demonstrate that that the functions enforces the rules of the business.\n", - "\n", - "5. Write a query to list all guests who have stayed in a given room in 2021.\n", - "\n", - "6. Write a query to list all dates on which a specific guest stayed at the hotel.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "33e46762", - "metadata": {}, - "source": [ - "# Define the database" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "fc703fb8", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2022-11-01 18:06:42,412][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", - "[2022-11-01 18:06:42,805][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" - ] - } - ], - "source": [ - "import datajoint as dj\n", - "schema = dj.Schema('shared_hotel')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "62d97e04", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Room(dj.Manual):\n", - " definition = \"\"\"\n", - " room : int\n", - " --- \n", - " room_type : enum('Deluxe', 'Suite')\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "280e7440", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class RoomAvailable(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Room\n", - " date : date \n", - " ---\n", - " price : decimal(6, 2)\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "dc952e39", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Guest(dj.Manual):\n", - " definition = \"\"\"\n", - " guest_id : int unsigned\n", - " --- \n", - " guest_name : varchar(60)\n", - " index(guest_name)\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "14929f5b", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Reservation(dj.Manual):\n", - " definition = \"\"\"\n", - " -> RoomAvailable\n", - " ---\n", - " -> Guest\n", - " credit_card : varchar(80)\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "61f03f74", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class CheckIn(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Reservation\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "c163c97c", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class CheckOut(dj.Manual):\n", - " definition = \"\"\"\n", - " -> CheckIn\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "c98936a8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "CheckOut\n", - "\n", - "\n", - "CheckOut\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "RoomAvailable\n", - "\n", - "\n", - "RoomAvailable\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Reservation\n", - "\n", - "\n", - "Reservation\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "RoomAvailable->Reservation\n", - "\n", - "\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CheckIn->CheckOut\n", - "\n", - "\n", - "\n", - "\n", - "Guest\n", - "\n", - "\n", - "Guest\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Guest->Reservation\n", - "\n", - "\n", - "\n", - "\n", - "Reservation->CheckIn\n", - "\n", - "\n", - "\n", - "\n", - "Room\n", - "\n", - "\n", - "Room\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Room->RoomAvailable\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "markdown", - "id": "3bab6ec9", - "metadata": {}, - "source": [ - "# Populate Room Availability" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "64060872", - "metadata": {}, - "outputs": [], - "source": [ - "import faker\n", - "import random\n", - "import datetime\n", - "import tqdm\n", - "fake = faker.Faker()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "281c8ca7", - "metadata": {}, - "outputs": [], - "source": [ - "# populate rooms\n", - "Room.insert((i, \"Deluxe\" if i%2 else \"Suite\") for i in range(80))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "86bc4436", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 45/45 [00:03<00:00, 11.92it/s]\n" - ] - } - ], - "source": [ - "# Populate Room availability: 45 days starting on start_date\n", - "start_date = datetime.date(2021, 10, 1)\n", - "days = 45\n", - "\n", - "for day in tqdm.tqdm(range(days)):\n", - " price = random.randint(40, 350) \n", - " RoomAvailable.insert(\n", - " dict(key, \n", - " date=start_date + datetime.timedelta(days=day), \n", - " price=price) for key in Room.fetch('KEY'))\n", - " " - ] - }, - { - "cell_type": "markdown", - "id": "4deda107", - "metadata": {}, - "source": [ - "# Functions " - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "48470620", - "metadata": {}, - "outputs": [], - "source": [ - "class HotelException(Exception): pass\n", - "class RoomUnavailable(HotelException): pass\n", - "class RoomAlreadyReserved(HotelException): pass\n", - "class AlreadyChecked(HotelException): pass\n", - "class NoReservation(HotelException): pass\n", - "class NotCheckedIn(HotelException): pass" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "5603309c", - "metadata": {}, - "outputs": [], - "source": [ - "def reserve_room(room, date, guest_name, credit_card):\n", - " # lookup guest by name\n", - " keys = (Guest & {'guest_name': guest_name}).fetch('KEY')\n", - " \n", - " if keys:\n", - " # if multiple found, use the first, for example\n", - " key = keys[0] \n", - " else:\n", - " # if not registered before, create a new guest id\n", - " key = dict(guest_id=random.randint(0, 2**32-1))\n", - " Guest.insert1(dict(key, guest_name=guest_name))\n", - " \n", - " try:\n", - " Reservation.insert1(\n", - " dict(key, room=room, date=date, credit_card=credit_card))\n", - " except dj.errors.DuplicateError:\n", - " raise RoomAlreadyReserved(room, date.isoformat()) from None\n", - " except dj.errors.IntegrityError:\n", - " raise RoomUnavailable(room, date.isoformat()) from None" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "fd3b9e30", - "metadata": {}, - "outputs": [], - "source": [ - "def check_in(room, date):\n", - " try:\n", - " CheckIn.insert1(dict(room=room, date=date))\n", - " except dj.errors.DuplicateError:\n", - " raise AlreadyChecked(room, date.isoformat()) from None\n", - " except dj.errors.IntegrityError:\n", - " raise NoReservation(room, date.isoformat()) from None" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "09e340e2", - "metadata": {}, - "outputs": [], - "source": [ - "def check_out(room, date):\n", - " try:\n", - " CheckOut.insert1(dict(room=room, date=date))\n", - " except dj.errors.DuplicateError:\n", - " raise AlreadyChecked(room, date.isoformat()) from None\n", - " except dj.errors.IntegrityError:\n", - " raise NotCheckedIn(room, date.isoformat()) from None" - ] - }, - { - "cell_type": "markdown", - "id": "60740817", - "metadata": {}, - "source": [ - "# Operations" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "8dbad565", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 8%|████████████▉ | 8/100 [00:06<01:16, 1.21it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RoomUnavailable(80, '2021-10-01')\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - " 9%|██████████████▌ | 9/100 [00:07<01:14, 1.22it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RoomAlreadyReserved(51, '2021-11-04')\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " 11%|█████████████████▋ | 11/100 [00:09<01:27, 1.02it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RoomUnavailable(80, '2021-11-09')\n" - 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room

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credit_card

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02021-10-1424670430592453673541841351 11/23 462
02021-10-188458267404528881031739606163 04/28 5583
02021-10-248691985124772595821214195133 12/26 759
02021-11-021658199830391204843665 11/28 632
02021-11-051202320264348858747347957 09/29 279
02021-11-085229636244045810724428447888 11/23 135
12021-10-025769882726515232227314782 05/25 632
12021-10-035229636244045810724428447888 11/23 135
12021-10-05123131142430570944113766 04/31 962
12021-10-1437607593813558142798582912 04/27 188
12021-10-21267272456011313298800641 07/23 421
12021-10-271202320264348858747347957 09/29 279
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Total: 928

\n", - " " - ], - "text/plain": [ - "*room *date guest_id credit_card \n", - "+------+ +------------+ +------------+ +------------+\n", - "0 2021-10-14 2467043059 24536735418413\n", - "0 2021-10-18 845826740 45288810317396\n", - "0 2021-10-24 869198512 47725958212141\n", - "0 2021-11-02 16581998 30391204843665\n", - "0 2021-11-05 120232026 43488587473479\n", - "0 2021-11-08 522963624 40458107244284\n", - "1 2021-10-02 576988272 65152322273147\n", - "1 2021-10-03 522963624 40458107244284\n", - "1 2021-10-05 1231311424 30570944113766\n", - "1 2021-10-14 3760759381 35581427985829\n", - "1 2021-10-21 26727245 60113132988006\n", - "1 2021-10-27 120232026 43488587473479\n", - " ...\n", - " (Total: 928)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# make a bunch of random reservations\n", - "\n", - "number_of_guests = 100\n", - "max_nights = 20\n", - "\n", - "for i in tqdm.tqdm(range(number_of_guests)):\n", - " guest = fake.name()\n", - " credit_card=' '.join((fake.credit_card_number(), \n", - " fake.credit_card_expire(), \n", - " fake.credit_card_security_code()))\n", - " \n", - " for j in range(random.randint(1, max_nights)):\n", - " date = fake.date_between_dates(start_date, start_date+datetime.timedelta(days=45))\n", - " room = random.randint(0, 80)\n", - " try:\n", - " reserve_room(room, date, guest, credit_card)\n", - " except HotelException as e:\n", - " print(repr(e))\n", - " \n", - "# show successful reservations\n", - "Reservation()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "dbc10353", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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guest_id

\n", - " \n", - "
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guest_name

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1662864156Adam Schwartz
869198512Alexandra Sampson
3953620611Alexis Arias
1751304781Amy Murphy
576988272Amy Ray
500507429Andrew Barnes
2712870417Arthur Shepherd
120232026Ashley Williams
114175943Barbara Grant
2549454580Becky Harrington
1642873097Brandon Cook
26727245Brandon Villarreal
\n", - "

...

\n", - "

Total: 101

\n", - " " - ], - "text/plain": [ - "*guest_id guest_name \n", - "+------------+ +------------+\n", - "1662864156 Adam Schwartz \n", - "869198512 Alexandra Samp\n", - "3953620611 Alexis Arias \n", - "1751304781 Amy Murphy \n", - "576988272 Amy Ray \n", - "500507429 Andrew Barnes \n", - "2712870417 Arthur Shepher\n", - "120232026 Ashley William\n", - "114175943 Barbara Grant \n", - "2549454580 Becky Harringt\n", - "1642873097 Brandon Cook \n", - "26727245 Brandon Villar\n", - " ...\n", - " (Total: 101)" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Guest()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "81a75c55", - "metadata": {}, - "outputs": [ - { - "ename": "NoReservation", - "evalue": "(2, '2021-10-02')", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNoReservation\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [20]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Try check in\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcheck_in\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2021\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", - "Input \u001b[0;32mIn [16]\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NoReservation(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", - "\u001b[0;31mNoReservation\u001b[0m: (2, '2021-10-02')" - ] - } - ], - "source": [ - "# Try check in\n", - "\n", - "check_in(2, datetime.date(2021, 10, 2))" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "8efc7fac", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 835/835 [00:34<00:00, 24.37it/s]\n" - ] - } - ], - "source": [ - "# checkin a bunch of people\n", - "checkins = random.sample(Reservation().fetch('KEY'), k=int(0.9*len(Reservation())))\n", - "for r in tqdm.tqdm(checkins):\n", - " check_in(**r)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ec862447", - "metadata": {}, - "outputs": [], - "source": [ - "CheckIn()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "2faabb54", - "metadata": {}, - "outputs": [ - { - "ename": "AlreadyChecked", - "evalue": "(26, '2021-10-31')", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAlreadyChecked\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [22]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Try duplicate checkin\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mcheck_in\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mcheckins\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", - "Input \u001b[0;32mIn [16]\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 3\u001b[0m CheckIn\u001b[38;5;241m.\u001b[39minsert1(\u001b[38;5;28mdict\u001b[39m(room\u001b[38;5;241m=\u001b[39mroom, date\u001b[38;5;241m=\u001b[39mdate))\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mDuplicateError:\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NoReservation(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", - "\u001b[0;31mAlreadyChecked\u001b[0m: (26, '2021-10-31')" - ] - } - ], - "source": [ - "# Try duplicate checkin\n", - "check_in(**checkins[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "5236b125", - "metadata": {}, - "outputs": [ - { - "ename": "NotCheckedIn", - "evalue": "(2, '2021-10-02')", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNotCheckedIn\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [23]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Try checkout\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcheck_out\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2021\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", - "Input \u001b[0;32mIn [17]\u001b[0m, in \u001b[0;36mcheck_out\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NotCheckedIn(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", - "\u001b[0;31mNotCheckedIn\u001b[0m: (2, '2021-10-02')" - ] - } - ], - "source": [ - "# Try checkout\n", - "\n", - "check_out(2, datetime.date(2021, 10, 2))" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "85a3a740", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 751/751 [00:30<00:00, 24.70it/s]\n" - ] - } - ], - "source": [ - "# checkout a bunch of people\n", - "checkouts = random.sample(CheckIn().fetch('KEY'), k=int(0.9*len(CheckIn())))\n", - "for r in tqdm.tqdm(checkouts):\n", - " check_out(**r)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "5151ae4b", - "metadata": {}, - "outputs": [ - { - "ename": "AlreadyChecked", - "evalue": "(29, '2021-10-03')", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAlreadyChecked\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [25]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# try duplicate checkout\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcheck_out\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mcheckouts\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", - "Input \u001b[0;32mIn [17]\u001b[0m, in \u001b[0;36mcheck_out\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 3\u001b[0m CheckOut\u001b[38;5;241m.\u001b[39minsert1(\u001b[38;5;28mdict\u001b[39m(room\u001b[38;5;241m=\u001b[39mroom, date\u001b[38;5;241m=\u001b[39mdate))\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mDuplicateError:\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m AlreadyChecked(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m dj\u001b[38;5;241m.\u001b[39merrors\u001b[38;5;241m.\u001b[39mIntegrityError:\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m NotCheckedIn(room, date\u001b[38;5;241m.\u001b[39misoformat()) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n", - "\u001b[0;31mAlreadyChecked\u001b[0m: (29, '2021-10-03')" - ] - } - ], - "source": [ - "# try duplicate checkout\n", - "\n", - "check_out(**checkouts[0])" - ] - }, - { - "cell_type": "markdown", - "id": "4ebd1fd9", - "metadata": {}, - "source": [ - "# Queries \n", - "\n", - "## Query 1: List all guests who have stayed in room 1" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "fa181a79", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

guest_id

\n", - " \n", - "
\n", - "

guest_name

\n", - " \n", - "
576988272Amy Ray
522963624Christopher Smith
1231311424Dylan Vincent
3760759381Jamie Atkinson
26727245Brandon Villarreal
120232026Ashley Williams
2783887783Emily Caldwell
290179231Judy Adkins
\n", - " \n", - "

Total: 8

\n", - " " - ], - "text/plain": [ - "*guest_id guest_name \n", - "+------------+ +------------+\n", - "576988272 Amy Ray \n", - "522963624 Christopher Sm\n", - "1231311424 Dylan Vincent \n", - "3760759381 Jamie Atkinson\n", - "26727245 Brandon Villar\n", - "120232026 Ashley William\n", - "2783887783 Emily Caldwell\n", - "290179231 Judy Adkins \n", - " (Total: 8)" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Guest & (Reservation & (CheckIn & 'room=1'))" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "e9891efc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

guest_id

\n", - " \n", - "
\n", - "

guest_name

\n", - " \n", - "
576988272Amy Ray
522963624Christopher Smith
1231311424Dylan Vincent
3760759381Jamie Atkinson
26727245Brandon Villarreal
120232026Ashley Williams
2783887783Emily Caldwell
290179231Judy Adkins
\n", - " \n", - "

Total: 8

\n", - " " - ], - "text/plain": [ - "*guest_id guest_name \n", - "+------------+ +------------+\n", - "576988272 Amy Ray \n", - "522963624 Christopher Sm\n", - "1231311424 Dylan Vincent \n", - "3760759381 Jamie Atkinson\n", - "26727245 Brandon Villar\n", - "120232026 Ashley William\n", - "2783887783 Emily Caldwell\n", - "290179231 Judy Adkins \n", - " (Total: 8)" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Guest & (Reservation * CheckIn & 'room=1')" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "d24bccfb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'SELECT `guest_id`,`guest_name` FROM `shared_hotel`.`guest` WHERE ((`guest_id`) in (SELECT `guest_id` FROM `shared_hotel`.`reservation` NATURAL JOIN `shared_hotel`.`check_in` WHERE (room=1)))'" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "_.make_sql()" - ] - }, - { - "cell_type": "markdown", - "id": "d281a8f4", - "metadata": {}, - "source": [ - "## Query 2: List all nights when a guest stayed at a hotel" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "37156855", - "metadata": {}, - "outputs": [], - "source": [ - "# pick a guest\n", - "guest = random.choice(Guest().fetch('KEY'))" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "f166cbe4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'guest_id': 522963624}" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "guest" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "63504e50", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

room

\n", - " \n", - "
\n", - "

date

\n", - " \n", - "
02021-11-08
12021-10-03
42021-10-04
112021-10-16
242021-10-08
362021-10-01
392021-10-22
542021-11-10
742021-10-12
742021-10-29
\n", - " \n", - "

Total: 10

\n", - " " - ], - "text/plain": [ - "*room *date \n", - "+------+ +------------+\n", - "0 2021-11-08 \n", - "1 2021-10-03 \n", - "4 2021-10-04 \n", - "11 2021-10-16 \n", - "24 2021-10-08 \n", - "36 2021-10-01 \n", - "39 2021-10-22 \n", - "54 2021-11-10 \n", - "74 2021-10-12 \n", - "74 2021-10-29 \n", - " (Total: 10)" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(Reservation * CheckIn & guest).proj()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f8d93df", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "benv", - "language": "python", - "name": "benv" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/db-course/JuliaSets.ipynb b/db-course/JuliaSets.ipynb index 070fbe5..e96cc5d 100644 --- a/db-course/JuliaSets.ipynb +++ b/db-course/JuliaSets.ipynb @@ -5,7 +5,9 @@ "id": "8607eb0e", "metadata": {}, "source": [ - "# Julia Sets" + "# Julia Sets\n", + "\n", + "The following is a quick introduction to Julia Sets" ] }, { @@ -17,12 +19,13 @@ "source": [ "%matplotlib inline\n", "from matplotlib import pyplot as plt\n", - "import numpy as np" + "import numpy as np\n", + "import datajoint as dj" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "3f5a75af", "metadata": {}, "outputs": [], @@ -44,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "79556895", "metadata": {}, "outputs": [ @@ -66,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "a43baa42", "metadata": {}, "outputs": [ @@ -88,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "3c63ce73", "metadata": {}, "outputs": [], @@ -105,15 +108,15 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "cfc85940", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, "metadata": {}, @@ -121,9 +124,9 @@ } ], "source": [ - "noise_level = 0.0\n", + "noise_level = 5.0\n", "\n", - "fig, ax = plt.subplots(3, 2, figsize=(10, 16))\n", + "fig, ax = plt.subplots(3, 2, figsize=(7.5, 12))\n", "for c_, a in zip(c, ax.flatten()):\n", " img = julia(c_, zoom=0.5) \n", " img += np.random.randn(*img.shape) * noise_level\n", @@ -141,17 +144,18 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "id": "b4069a34", "metadata": {}, "outputs": [], "source": [ + "from skimage import data\n", "from skimage import filters" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "id": "39bc25c7", "metadata": {}, "outputs": [], @@ -162,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "id": "aa225a15", "metadata": {}, "outputs": [], @@ -178,7 +182,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "id": "d60ecafd", "metadata": { "scrolled": false @@ -186,9 +190,9 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, "metadata": {}, @@ -196,7 +200,7 @@ } ], "source": [ - "fig, ax = plt.subplots(3, 2, figsize=(12, 18))\n", + "fig, ax = plt.subplots(3, 2, figsize=(6, 9))\n", "for a, (im, title) in zip(\n", " ax.flatten(),\n", " ((img, 'original'), \n", @@ -215,43 +219,705 @@ "id": "b495345a", "metadata": {}, "source": [ - "# DataJoint Pipeline" + "# DataJoint Pipeline\n", + "\n", + "Now let's build a data pipeline managing Julia sets and their analysis" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "9015c43e", "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-24 16:01:48,861][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-24 16:01:48,877][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "\n", + "schema = dj.Schema('julia')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "62067735", + "metadata": {}, "outputs": [], "source": [ - "import datajoint as dj" + "@schema \n", + "class JuliaSpec(dj.Lookup):\n", + " definition = \"\"\"\n", + " julia_spec : smallint \n", + " ---\n", + " creal : float\n", + " cimag : float\n", + " size=256 : smallint\n", + " center_real=0.0 : float \n", + " center_imag=0.0 : float\n", + " zoom=1.0 : float\n", + " noise_level=50 : float\n", + " \"\"\" \n", + "\n", + " contents = (\n", + " dict(julia_spec=0, creal=-0.4, cimag=0.6, noise_level=50),\n", + " dict(julia_spec=1, creal=-0.7453, cimag=0.11301, noise_level=50),\n", + " dict(julia_spec=2, creal=-0.75, cimag=0.11, noise_level=50),\n", + " dict(julia_spec=3, creal=-0.1, cimag=0.651, noise_level=50),\n", + " dict(julia_spec=4, creal=-0.835, cimag=-0.2321, noise_level=50),\n", + " dict(julia_spec=5, creal=-0.70176, cimag=-0.3842, noise_level=50),\n", + " )\n", + "\n" ] }, { "cell_type": "code", "execution_count": null, - "id": "62067735", + "id": "0bc39f02", "metadata": {}, "outputs": [], "source": [ - "schema = dj.Schema('julia')" + "JuliaSpec.insert1(\n", + " dict(julia_spec=10, \n", + " creal=-0.4, cimag=0.6, \n", + " center_real=0.34, center_imag=-0.30, \n", + " zoom=10000.0, \n", + " noise_level=50.0)\n", + ") " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5630641b", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class JuliaImage(dj.Computed):\n", + " definition = \"\"\"\n", + " -> JuliaSpec \n", + " ---\n", + " image : longblob\n", + " \"\"\"\n", + "\n", + " def make(self, key):\n", + " spec = (JuliaSpec & key).fetch1()\n", + " img = julia(spec['creal'] + 1j*spec['cimag'], \n", + " size=spec['size'],\n", + " center=(spec['center_real'], spec['center_imag']),\n", + " zoom=spec['zoom'],\n", + " )\n", + " img += np.random.randn(*img.shape) * spec['noise_level']\n", + " self.insert1(dict(key, image=img.astype(np.float32)))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "71f577ff", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "JuliaImage\n", + "\n", + "\n", + "JuliaImage\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "JuliaSpec\n", + "\n", + "\n", + "JuliaSpec\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "JuliaSpec->JuliaImage\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "1c8e3481", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "JuliaImage: 100%|██████████| 6/6 [00:01<00:00, 3.60it/s]\n" + ] + } + ], + "source": [ + "JuliaImage.populate(display_progress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "560613ef", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + " " + ], + "text/plain": [ + "*julia_spec image \n", + "+------------+ +--------+\n", + "0 =BLOB= \n", + "1 =BLOB= \n", + "2 =BLOB= \n", + "3 =BLOB= \n", + "4 =BLOB= \n", + "5 =BLOB= \n", + " (Total: 6)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JuliaImage()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "76a38851", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Total: 24

\n", + " " + ], + "text/plain": [ + "*julia_spec *denoise_metho denoised_i\n", + "+------------+ +------------+ +--------+\n", + "0 0 =BLOB= \n", + "1 0 =BLOB= \n", + "2 0 =BLOB= \n", + "3 0 =BLOB= \n", + "4 0 =BLOB= \n", + "5 0 =BLOB= \n", + "0 1 =BLOB= \n", + "1 1 =BLOB= \n", + "2 1 =BLOB= \n", + "3 1 =BLOB= \n", + "4 1 =BLOB= \n", + "5 1 =BLOB= \n", + " ...\n", + " (Total: 24)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JuliaDenoised()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "b4b76369", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "keys = JuliaDenoised.fetch('KEY')\n", + "img = ((JuliaDenoised & keys[21])).fetch1('denoised_image')\n", + "plt.imshow(img)\n", + "plt.axis(False);" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "4917c8c2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "DenoiseMethod\n", + "\n", + "\n", + "DenoiseMethod\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "JuliaDenoised\n", + "\n", + "\n", + "JuliaDenoised\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "DenoiseMethod->JuliaDenoised\n", + "\n", + "\n", + "\n", + "\n", + "JuliaImage\n", + "\n", + "\n", + "JuliaImage\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "JuliaImage->JuliaDenoised\n", + "\n", + "\n", + "\n", + "\n", + "JuliaSpec\n", + "\n", + "\n", + "JuliaSpec\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "JuliaSpec->JuliaImage\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" ] }, { "cell_type": "code", "execution_count": null, - "id": "4c4ef4a9", + "id": "97601fad", "metadata": {}, "outputs": [], "source": [ - "img.max()" + "@schema\n", + "class Blob(dj.Manual):\n", + " definition = \"\"\"\n", + " id : int\n", + " ---\n", + " blob : longblob\n", + " \"\"\"" ] }, { "cell_type": "code", "execution_count": null, - "id": "5630641b", + "id": "02ead2d5", + "metadata": {}, + "outputs": [], + "source": [ + "Blob.insert1(dict(id=1, blob=[1, 2, 3, 'Four']))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bbf1b7b5", + "metadata": {}, + "outputs": [], + "source": [ + "Blob.fetch(as_dict=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2be63e8", "metadata": {}, "outputs": [], "source": [] From c9ca662900ceac31f910910f84b4a437c2c956d3 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 25 Oct 2023 01:24:50 +0000 Subject: [PATCH 24/33] Aggregations --- db-course/004-DatabaseHotel.ipynb | 1411 ++++++++++----- db-course/004-DatabaseNations.ipynb | 6 +- db-course/004-DatabaseUniversity.ipynb | 302 +++- db-course/004-Design.ipynb | 136 +- db-course/004-DesignSQL.ipynb | 13 +- db-course/005-Queries-HW.ipynb | 1810 ++++++++++++++++++- db-course/006-Joins-HW.ipynb | 1369 ++++++++++++--- db-course/007-Aggregation.ipynb | 2246 +++++++++++++++--------- 8 files changed, 5574 insertions(+), 1719 deletions(-) diff --git a/db-course/004-DatabaseHotel.ipynb b/db-course/004-DatabaseHotel.ipynb index 9d34b92..7d7df66 100644 --- a/db-course/004-DatabaseHotel.ipynb +++ b/db-course/004-DatabaseHotel.ipynb @@ -42,19 +42,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "id": "fc703fb8", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-24 22:24:39,860][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-24 22:24:39,868][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], + "outputs": [], "source": [ "import datajoint as dj\n", "schema = dj.Schema('hotel')" @@ -62,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "id": "62d97e04", "metadata": {}, "outputs": [], @@ -78,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "id": "280e7440", "metadata": {}, "outputs": [], @@ -95,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "id": "dc952e39", "metadata": {}, "outputs": [], @@ -112,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "14929f5b", "metadata": {}, "outputs": [], @@ -129,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "61f03f74", "metadata": {}, "outputs": [], @@ -143,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "c163c97c", "metadata": {}, "outputs": [], @@ -157,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "c98936a8", "metadata": {}, "outputs": [ @@ -168,47 +159,33 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "Guest\n", - "\n", - "\n", - "Guest\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", "\n", "\n", "\n", - "\n", - "\n", - "Reservation\n", - "\n", - "\n", - "Reservation\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Guest->Reservation\n", - "\n", - "\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Reservation->CheckIn\n", - "\n", + "CheckIn->CheckOut\n", + "\n", "\n", "\n", - "\n", + "\n", "Room\n", - "\n", + "\n", "\n", "Room\n", "\n", @@ -224,37 +201,51 @@ "\n", "\n", "\n", - "\n", + "\n", "Room->RoomAvailable\n", "\n", "\n", - "\n", + "\n", "\n", - "CheckOut\n", - "\n", - "\n", - "CheckOut\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "Reservation\n", "\n", "\n", "\n", + "\n", + "\n", + "Guest->Reservation\n", + "\n", + "\n", "\n", "\n", "RoomAvailable->Reservation\n", "\n", "\n", - "\n", + "\n", "\n", - "CheckIn->CheckOut\n", - "\n", + "Reservation->CheckIn\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -273,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "64060872", "metadata": {}, "outputs": [], @@ -287,7 +278,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "id": "281c8ca7", "metadata": {}, "outputs": [], @@ -298,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "86bc4436", "metadata": {}, "outputs": [ @@ -306,13 +297,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 45/45 [00:02<00:00, 21.22it/s]\n" + "100%|██████████| 45/45 [00:02<00:00, 20.91it/s]\n" ] } ], "source": [ "# Populate Room availability: 45 days starting on start_date\n", - "start_date = datetime.date(2021, 10, 1)\n", + "start_date = datetime.date(2023, 11, 1)\n", "days = 45\n", "\n", "for day in tqdm.tqdm(range(days)):\n", @@ -334,7 +325,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "id": "48470620", "metadata": {}, "outputs": [], @@ -349,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "id": "5603309c", "metadata": {}, "outputs": [], @@ -377,7 +368,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "id": "fd3b9e30", "metadata": {}, "outputs": [], @@ -393,7 +384,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "id": "09e340e2", "metadata": {}, "outputs": [], @@ -417,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 20, "id": "8dbad565", "metadata": { "scrolled": false @@ -427,784 +418,878 @@ "name": "stderr", "output_type": "stream", "text": [ - 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"RoomAlreadyReserved(36, '2021-11-03')\n" + "RoomAlreadyReserved(20, '2023-11-19')\n", + "RoomAlreadyReserved(49, '2023-11-23')\n", + "RoomUnavailable(80, '2023-12-07')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 91%|█████████ | 91/100 [00:29<00:03, 2.96it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(9, '2023-12-04')\n", + "RoomAlreadyReserved(71, '2023-11-19')\n", + "RoomAlreadyReserved(66, '2023-11-02')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 94%|█████████▍| 94/100 [00:30<00:01, 4.49it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(67, '2023-12-10')\n", + "RoomAlreadyReserved(65, '2023-11-18')\n", + "RoomAlreadyReserved(74, '2023-11-10')\n", + "RoomAlreadyReserved(53, '2023-12-11')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 96%|█████████▌| 96/100 [00:30<00:01, 3.75it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(67, '2023-11-09')\n", + "RoomAlreadyReserved(74, '2023-11-21')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 100/100 [00:31<00:00, 3.20it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RoomAlreadyReserved(11, '2023-11-17')\n", + "RoomAlreadyReserved(16, '2023-11-06')\n" ] }, { @@ -1286,67 +1371,67 @@ " \n", " \n", " 0\n", - "2021-10-05\n", - "1689116194\n", - "4963501761746225 08/27 2460\n", - "2021-10-06\n", - "2398806164\n", - "6011977965828059 09/29 3510\n", - "2021-10-09\n", - "1101032312\n", - "4982755741654 09/26 2560\n", - "2021-10-28\n", - "572555526\n", - "675926497545 05/30 8260\n", - "2021-11-01\n", - "572555526\n", - "675926497545 05/30 8260\n", - "2021-11-07\n", - "1101032312\n", - "4982755741654 09/26 2560\n", - "2021-11-12\n", - "3722081738\n", - "4616430089622 03/32 7881\n", - "2021-10-01\n", - "1347060425\n", - "5438160252295707 11/28 6971\n", - "2021-10-02\n", - "1474515654\n", - "4029504389232637911 01/32 5911\n", - "2021-10-08\n", - "1575600856\n", - "4129092192215320 08/25 6521\n", - "2021-10-10\n", - "1589486841\n", - "3520437344918965 04/33 7651\n", - "2021-10-17\n", - "2641048106\n", - "4926013726135235 05/33 783 \n", + "2023-11-03\n", + "3886404630\n", + "3539029767348314 02/24 5380\n", + "2023-11-04\n", + "4222389012\n", + "676270844746 02/25 5200\n", + "2023-11-06\n", + "3575930389\n", + "4982559346440216 04/24 3750\n", + "2023-11-14\n", + "4126877364\n", + "4512428001432 01/31 5280\n", + "2023-11-16\n", + "603044597\n", + "375976386451502 09/32 37940\n", + "2023-11-17\n", + "3325409506\n", + "3567555750016091 06/33 09710\n", + "2023-11-22\n", + "2807868274\n", + "2251945256257864 02/25 3620\n", + "2023-11-25\n", + "1317053738\n", + "3597251137404879 03/31 4280\n", + "2023-11-28\n", + "2071295419\n", + "4037273286797 05/31 38310\n", + "2023-12-01\n", + "2053145634\n", + "6011323937289809 11/26 44050\n", + "2023-12-12\n", + "602441702\n", + "4303603515452016 07/28 9860\n", + "2023-12-14\n", + "502401306\n", + "6590640810134656 10/31 310 \n", " \n", "

...

\n", - "

Total: 864

\n", + "

Total: 917

\n", " " ], "text/plain": [ "*room *date guest_id credit_card \n", "+------+ +------------+ +------------+ +------------+\n", - "0 2021-10-05 1689116194 49635017617462\n", - "0 2021-10-06 2398806164 60119779658280\n", - "0 2021-10-09 1101032312 4982755741654 \n", - "0 2021-10-28 572555526 675926497545 0\n", - "0 2021-11-01 572555526 675926497545 0\n", - "0 2021-11-07 1101032312 4982755741654 \n", - "0 2021-11-12 3722081738 4616430089622 \n", - "1 2021-10-01 1347060425 54381602522957\n", - "1 2021-10-02 1474515654 40295043892326\n", - "1 2021-10-08 1575600856 41290921922153\n", - "1 2021-10-10 1589486841 35204373449189\n", - "1 2021-10-17 2641048106 49260137261352\n", + "0 2023-11-03 3886404630 35390297673483\n", + "0 2023-11-04 4222389012 676270844746 0\n", + "0 2023-11-06 3575930389 49825593464402\n", + "0 2023-11-14 4126877364 4512428001432 \n", + "0 2023-11-16 603044597 37597638645150\n", + "0 2023-11-17 3325409506 35675557500160\n", + "0 2023-11-22 2807868274 22519452562578\n", + "0 2023-11-25 1317053738 35972511374048\n", + "0 2023-11-28 2071295419 4037273286797 \n", + "0 2023-12-01 2053145634 60113239372898\n", + "0 2023-12-12 602441702 43036035154520\n", + "0 2023-12-14 502401306 65906408101346\n", " ...\n", - " (Total: 864)" + " (Total: 917)" ] }, - "execution_count": 16, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1377,7 +1462,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 21, "id": "dbc10353", "metadata": {}, "outputs": [ @@ -1446,19 +1531,19 @@ "

guest_name

\n", " \n", " \n", - " 3342266079\n", - "Aaron Bradley3320236962\n", - "Alison Burke1060653779\n", - "Amanda Kim1347060425\n", - "Anthony Jackson3664806043\n", - "Anthony Santana3594289303\n", - "Barbara Mcintyre171664340\n", - "Caitlin Little4223113568\n", - "Carol Patel3592385568\n", - "Charles Neal2453762139\n", - "Christina Meyer3976771105\n", - "Christine Wilson1575600856\n", - "Christopher Meyer \n", + " 2864601305\n", + "Adam Nelson1642893781\n", + "Alicia Huerta355112262\n", + "Andres Castro2949960533\n", + "Arthur Wright456674970\n", + "Ashley Harrison1042772978\n", + "Ashley Swanson3447296133\n", + "Benjamin Jacobs3113809067\n", + "Billy Dennis2024062282\n", + "Brad Booth2681245024\n", + "Brandon Mcdonald583335287\n", + "Brian Santiago3277354936\n", + "Caitlyn Cruz \n", " \n", "

...

\n", "

Total: 100

\n", @@ -1467,23 +1552,23 @@ "text/plain": [ "*guest_id guest_name \n", "+------------+ +------------+\n", - "3342266079 Aaron Bradley \n", - "3320236962 Alison Burke \n", - "1060653779 Amanda Kim \n", - "1347060425 Anthony Jackso\n", - "3664806043 Anthony Santan\n", - "3594289303 Barbara Mcinty\n", - "171664340 Caitlin Little\n", - "4223113568 Carol Patel \n", - "3592385568 Charles Neal \n", - "2453762139 Christina Meye\n", - "3976771105 Christine Wils\n", - "1575600856 Christopher Me\n", + "2864601305 Adam Nelson \n", + "1642893781 Alicia Huerta \n", + "355112262 Andres Castro \n", + "2949960533 Arthur Wright \n", + "456674970 Ashley Harriso\n", + "1042772978 Ashley Swanson\n", + "3447296133 Benjamin Jacob\n", + "3113809067 Billy Dennis \n", + "2024062282 Brad Booth \n", + "2681245024 Brandon Mcdona\n", + "583335287 Brian Santiago\n", + "3277354936 Caitlyn Cruz \n", " ...\n", " (Total: 100)" ] }, - "execution_count": 17, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1494,31 +1579,31 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 23, "id": "81a75c55", "metadata": {}, "outputs": [ { "ename": "NoReservation", - "evalue": "(2, '2021-10-02')", + "evalue": "(2, '2023-11-02')", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNoReservation\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[18], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m# Try check in\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m check_in(\u001b[39m2\u001b[39;49m, datetime\u001b[39m.\u001b[39;49mdate(\u001b[39m2021\u001b[39;49m, \u001b[39m10\u001b[39;49m, \u001b[39m2\u001b[39;49m))\n", - "Cell \u001b[0;32mIn[14], line 7\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[39mraise\u001b[39;00m AlreadyChecked(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[39mraise\u001b[39;00m NoReservation(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n", - "\u001b[0;31mNoReservation\u001b[0m: (2, '2021-10-02')" + "Cell \u001b[0;32mIn[23], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m# Try check in\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m check_in(\u001b[39m2\u001b[39;49m, datetime\u001b[39m.\u001b[39;49mdate(\u001b[39m2023\u001b[39;49m, \u001b[39m11\u001b[39;49m, \u001b[39m2\u001b[39;49m))\n", + "Cell \u001b[0;32mIn[18], line 7\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[39mraise\u001b[39;00m AlreadyChecked(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[39mraise\u001b[39;00m NoReservation(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n", + "\u001b[0;31mNoReservation\u001b[0m: (2, '2023-11-02')" ] } ], "source": [ "# Try check in\n", - "check_in(2, datetime.date(2021, 10, 2))" + "check_in(2, datetime.date(2023, 11, 2))" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 24, "id": "8efc7fac", "metadata": {}, "outputs": [ @@ -1526,7 +1611,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 777/777 [00:22<00:00, 33.91it/s]\n" + "100%|██████████| 825/825 [00:24<00:00, 34.16it/s]\n" ] } ], @@ -1542,91 +1627,449 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "id": "ec862447", "metadata": {}, - "outputs": [], - "source": [ - "CheckIn()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2faabb54", - "metadata": {}, - "outputs": [], - "source": [ - "# Try duplicate checkin\n", - "check_in(**checkins[0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5236b125", - "metadata": {}, - "outputs": [], - "source": [ - "# Try checkout\n", - "\n", - "check_out(2, datetime.date(2021, 10, 2))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "85a3a740", - "metadata": {}, - "outputs": [], - "source": [ - "# checkout a bunch of people\n", - "checkouts = random.sample(CheckIn().fetch('KEY'), k=int(0.9*len(CheckIn())))\n", - "for r in tqdm.tqdm(checkouts):\n", - " try:\n", - " check_out(**r)\n", - " except AlreadyChecked as e:\n", - " print repr(e)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5151ae4b", - "metadata": {}, - "outputs": [], - "source": [ - "# try duplicate checkout\n", - "\n", - "check_out(**checkouts[0])" - ] - }, - { - "cell_type": "markdown", - "id": "4ebd1fd9", - "metadata": {}, - "source": [ - "# Queries \n", - "\n", - "## Query 1: List all guests who have stayed in room 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fa181a79", - "metadata": {}, - "outputs": [], - "source": [ - "Guest & (Reservation & (CheckIn & 'room=1'))" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

room

\n", + " \n", + "
\n", + "

date

\n", + " \n", + "
02023-11-03
02023-11-04
02023-11-06
02023-11-14
02023-11-16
02023-11-25
02023-11-28
02023-12-01
02023-12-12
12023-11-01
12023-11-02
12023-11-14
\n", + "

...

\n", + "

Total: 825

\n", + " " + ], + "text/plain": [ + "*room *date \n", + "+------+ +------------+\n", + "0 2023-11-03 \n", + "0 2023-11-04 \n", + "0 2023-11-06 \n", + "0 2023-11-14 \n", + "0 2023-11-16 \n", + "0 2023-11-25 \n", + "0 2023-11-28 \n", + "0 2023-12-01 \n", + "0 2023-12-12 \n", + "1 2023-11-01 \n", + "1 2023-11-02 \n", + "1 2023-11-14 \n", + " ...\n", + " (Total: 825)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CheckIn()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "2faabb54", + "metadata": {}, + "outputs": [ + { + "ename": "AlreadyChecked", + "evalue": "(70, '2023-12-07')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAlreadyChecked\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[26], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m# Try duplicate checkin\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m check_in(\u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mcheckins[\u001b[39m0\u001b[39;49m])\n", + "Cell \u001b[0;32mIn[18], line 5\u001b[0m, in \u001b[0;36mcheck_in\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 3\u001b[0m CheckIn\u001b[39m.\u001b[39minsert1(\u001b[39mdict\u001b[39m(room\u001b[39m=\u001b[39mroom, date\u001b[39m=\u001b[39mdate))\n\u001b[1;32m 4\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mDuplicateError:\n\u001b[0;32m----> 5\u001b[0m \u001b[39mraise\u001b[39;00m AlreadyChecked(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mIntegrityError:\n\u001b[1;32m 7\u001b[0m \u001b[39mraise\u001b[39;00m NoReservation(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n", + "\u001b[0;31mAlreadyChecked\u001b[0m: (70, '2023-12-07')" + ] + } + ], + "source": [ + "# Try duplicate checkin\n", + "check_in(**checkins[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "5236b125", + "metadata": {}, + "outputs": [ + { + "ename": "NotCheckedIn", + "evalue": "(2, '2023-10-02')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNotCheckedIn\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[27], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m# Try checkout\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m check_out(\u001b[39m2\u001b[39;49m, datetime\u001b[39m.\u001b[39;49mdate(\u001b[39m2023\u001b[39;49m, \u001b[39m10\u001b[39;49m, \u001b[39m2\u001b[39;49m))\n", + "Cell \u001b[0;32mIn[19], line 7\u001b[0m, in \u001b[0;36mcheck_out\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[39mraise\u001b[39;00m AlreadyChecked(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mIntegrityError:\n\u001b[0;32m----> 7\u001b[0m \u001b[39mraise\u001b[39;00m NotCheckedIn(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n", + "\u001b[0;31mNotCheckedIn\u001b[0m: (2, '2023-10-02')" + ] + } + ], + "source": [ + "# Try checkout\n", + "\n", + "check_out(2, datetime.date(2023, 10, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "85a3a740", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 742/742 [00:21<00:00, 34.42it/s]\n" + ] + } + ], + "source": [ + "# checkout a bunch of people\n", + "checkouts = random.sample(CheckIn().fetch('KEY'), k=int(0.9*len(CheckIn())))\n", + "for r in tqdm.tqdm(checkouts):\n", + " try:\n", + " check_out(**r)\n", + " except AlreadyChecked as e:\n", + " print(repr(e))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "5151ae4b", + "metadata": {}, + "outputs": [ + { + "ename": "AlreadyChecked", + "evalue": "(65, '2023-12-13')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAlreadyChecked\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[29], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m# try duplicate checkout\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m check_out(\u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mcheckouts[\u001b[39m0\u001b[39;49m])\n", + "Cell \u001b[0;32mIn[19], line 5\u001b[0m, in \u001b[0;36mcheck_out\u001b[0;34m(room, date)\u001b[0m\n\u001b[1;32m 3\u001b[0m CheckOut\u001b[39m.\u001b[39minsert1(\u001b[39mdict\u001b[39m(room\u001b[39m=\u001b[39mroom, date\u001b[39m=\u001b[39mdate))\n\u001b[1;32m 4\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mDuplicateError:\n\u001b[0;32m----> 5\u001b[0m \u001b[39mraise\u001b[39;00m AlreadyChecked(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[39mexcept\u001b[39;00m dj\u001b[39m.\u001b[39merrors\u001b[39m.\u001b[39mIntegrityError:\n\u001b[1;32m 7\u001b[0m \u001b[39mraise\u001b[39;00m NotCheckedIn(room, date\u001b[39m.\u001b[39misoformat()) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n", + "\u001b[0;31mAlreadyChecked\u001b[0m: (65, '2023-12-13')" + ] + } + ], + "source": [ + "# try duplicate checkout\n", + "\n", + "check_out(**checkouts[0])" + ] + }, + { + "cell_type": "markdown", + "id": "4ebd1fd9", + "metadata": {}, + "source": [ + "# Queries \n", + "\n", + "## Query 1: List all guests who have stayed in room 1" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "fa181a79", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

guest_id

\n", + " \n", + "
\n", + "

guest_name

\n", + " \n", + "
1567202417Mark Lane
877452699Sandra Brewer
856648119Kimberly Lee
2107900346Nathan Atkinson
2413549786Danielle Hamilton
12668262Patrick Wells
2053145634Jeremy Phillips
3325409506Melinda Flores
4167308935Melody Snyder
2071295419Douglas Murphy
\n", + " \n", + "

Total: 10

\n", + " " + ], + "text/plain": [ + "*guest_id guest_name \n", + "+------------+ +------------+\n", + "1567202417 Mark Lane \n", + "877452699 Sandra Brewer \n", + "856648119 Kimberly Lee \n", + "2107900346 Nathan Atkinso\n", + "2413549786 Danielle Hamil\n", + "12668262 Patrick Wells \n", + "2053145634 Jeremy Phillip\n", + "3325409506 Melinda Flores\n", + "4167308935 Melody Snyder \n", + "2071295419 Douglas Murphy\n", + " (Total: 10)" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Guest & (Reservation & (CheckIn & 'room=1'))" + ] + }, + { + "cell_type": "code", + "execution_count": 31, "id": "e9891efc", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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guest_id

\n", + " \n", + "
\n", + "

guest_name

\n", + " \n", + "
1567202417Mark Lane
877452699Sandra Brewer
856648119Kimberly Lee
2107900346Nathan Atkinson
2413549786Danielle Hamilton
12668262Patrick Wells
2053145634Jeremy Phillips
3325409506Melinda Flores
4167308935Melody Snyder
2071295419Douglas Murphy
\n", + " \n", + "

Total: 10

\n", + " " + ], + "text/plain": [ + "*guest_id guest_name \n", + "+------------+ +------------+\n", + "1567202417 Mark Lane \n", + "877452699 Sandra Brewer \n", + "856648119 Kimberly Lee \n", + "2107900346 Nathan Atkinso\n", + "2413549786 Danielle Hamil\n", + "12668262 Patrick Wells \n", + "2053145634 Jeremy Phillip\n", + "3325409506 Melinda Flores\n", + "4167308935 Melody Snyder \n", + "2071295419 Douglas Murphy\n", + " (Total: 10)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Guest & (Reservation * CheckIn & 'room=1')" ] @@ -1651,7 +2094,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "id": "37156855", "metadata": {}, "outputs": [], @@ -1662,20 +2105,138 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "id": "f166cbe4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'guest_id': 2807868274}" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "guest" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "id": "63504e50", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

room

\n", + " \n", + "
\n", + "

date

\n", + " \n", + "
102023-11-17
102023-12-02
142023-11-21
182023-11-23
202023-11-19
222023-11-09
242023-11-09
252023-11-07
322023-11-20
362023-11-29
362023-12-06
372023-11-10
\n", + "

...

\n", + "

Total: 15

\n", + " " + ], + "text/plain": [ + "*room *date \n", + "+------+ +------------+\n", + "10 2023-11-17 \n", + "10 2023-12-02 \n", + "14 2023-11-21 \n", + "18 2023-11-23 \n", + "20 2023-11-19 \n", + "22 2023-11-09 \n", + "24 2023-11-09 \n", + "25 2023-11-07 \n", + "32 2023-11-20 \n", + "36 2023-11-29 \n", + "36 2023-12-06 \n", + "37 2023-11-10 \n", + " ...\n", + " (Total: 15)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "(Reservation * CheckIn & guest).proj()" ] diff --git a/db-course/004-DatabaseNations.ipynb b/db-course/004-DatabaseNations.ipynb index a884713..936dfe5 100644 --- a/db-course/004-DatabaseNations.ipynb +++ b/db-course/004-DatabaseNations.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -140,7 +140,7 @@ "[]" ] }, - "execution_count": 5, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } diff --git a/db-course/004-DatabaseUniversity.ipynb b/db-course/004-DatabaseUniversity.ipynb index 1d89d00..fb70172 100644 --- a/db-course/004-DatabaseUniversity.ipynb +++ b/db-course/004-DatabaseUniversity.ipynb @@ -20,8 +20,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "[2023-10-24 22:32:02,970][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-24 22:32:02,977][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-10-24 23:02:05,445][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-24 23:02:05,453][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] } ], @@ -94,52 +94,134 @@ { "data": { "image/svg+xml": [ - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "StudentMajor\n", - "\n", - "\n", - "StudentMajor\n", - "\n", + "`university`.`course`\n", + "\n", + "`university`.`course`\n", "\n", + "\n", + "\n", + "`university`.`section`\n", + "\n", + "`university`.`section`\n", "\n", - "\n", + "\n", + "\n", + "`university`.`course`->`university`.`section`\n", + "\n", + "\n", + "\n", "\n", - "Department\n", - "\n", - "\n", - "Department\n", - "\n", + "`university`.`current_term`\n", + "\n", + "`university`.`current_term`\n", "\n", + "\n", + "\n", + "`university`.`enroll`\n", + "\n", + "`university`.`enroll`\n", + "\n", + "\n", + "\n", + "`university`.`grade`\n", + "\n", + "`university`.`grade`\n", + "\n", + "\n", + "\n", + "`university`.`enroll`->`university`.`grade`\n", + "\n", + "\n", + "\n", + "\n", + "`university`.`letter_grade`\n", + "\n", + "`university`.`letter_grade`\n", + "\n", + "\n", + "\n", + "`university`.`letter_grade`->`university`.`grade`\n", + "\n", + "\n", + "\n", + "\n", + "`university`.`section`->`university`.`enroll`\n", + "\n", + "\n", + "\n", + "\n", + "`university`.`term`\n", + "\n", + "`university`.`term`\n", + "\n", + "\n", + "\n", + "`university`.`term`->`university`.`current_term`\n", + "\n", + "\n", + "\n", + "\n", + "`university`.`term`->`university`.`section`\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", "\n", - "\n", - "\n", - "Department->StudentMajor\n", - "\n", "\n", "\n", - "\n", + "\n", "Student\n", - "\n", - "\n", - "Student\n", + "\n", + "\n", + "Student\n", "\n", "\n", "\n", + "\n", + "\n", + "Student->`university`.`enroll`\n", + "\n", + "\n", "\n", - "\n", + "\n", "Student->StudentMajor\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->`university`.`course`\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -240,9 +322,9 @@ "\n", "\n", "\n", - "\n", + "\n", "StudentMajor\n", - "\n", + "\n", "\n", "StudentMajor\n", "\n", @@ -254,9 +336,9 @@ "\n", "\n", "\n", - "\n", + "\n", "Course\n", - "\n", + "\n", "\n", "Course\n", "\n", @@ -267,33 +349,42 @@ "Department->Course\n", "\n", "\n", - "\n", + "\n", "\n", - "Term\n", - "\n", - "\n", - "Term\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", "\n", "\n", "\n", - "\n", - "\n", - "CurrentTerm\n", - "\n", - "\n", - "CurrentTerm\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Term->CurrentTerm\n", - "\n", + "LetterGrade->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Section\n", - "\n", + "\n", "\n", "Section\n", "\n", @@ -304,77 +395,68 @@ "Term->Section\n", "\n", "\n", - "\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", "\n", - "Course->Section\n", - "\n", + "Term->CurrentTerm\n", + "\n", "\n", - "\n", - "\n", - "Grade\n", - "\n", - "\n", - "Grade\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", "\n", "\n", "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", "\n", - "\n", + "\n", "Enroll\n", - "\n", + "\n", "\n", "Enroll\n", "\n", "\n", "\n", - "\n", - "\n", - "Enroll->Grade\n", - "\n", - "\n", - "\n", + "\n", "\n", - "Section->Enroll\n", - "\n", - "\n", - "\n", - "\n", - "LetterGrade\n", - "\n", - "\n", - "LetterGrade\n", - "\n", - "\n", + "Student->Enroll\n", + "\n", "\n", - "\n", + "\n", "\n", - "LetterGrade->Grade\n", - "\n", - "\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", + "Course->Section\n", + "\n", "\n", - "\n", + "\n", "\n", - "Student->StudentMajor\n", - "\n", + "Enroll->Grade\n", + "\n", "\n", - "\n", + "\n", "\n", - "Student->Enroll\n", - "\n", + "Section->Enroll\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -435,7 +517,20 @@ "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "DuplicateError", + "evalue": "(\"Duplicate entry '100' for key 'student.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mDuplicateError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m Student\u001b[39m.\u001b[39;49minsert(\n\u001b[1;32m 2\u001b[0m \u001b[39mdict\u001b[39;49m(k, student_id\u001b[39m=\u001b[39;49mi) \u001b[39mfor\u001b[39;49;00m i, k \u001b[39min\u001b[39;49;00m \u001b[39mzip\u001b[39;49m(\u001b[39mrange\u001b[39;49m(\u001b[39m100\u001b[39;49m,\u001b[39m300\u001b[39;49m), yield_students()))\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/datajoint/table.py:453\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 450\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 451\u001b[0m )\n\u001b[1;32m 452\u001b[0m \u001b[39mexcept\u001b[39;00m DuplicateError \u001b[39mas\u001b[39;00m err:\n\u001b[0;32m--> 453\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 454\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore duplicate entries in insert, set skip_duplicates=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 455\u001b[0m )\n", + "\u001b[0;31mDuplicateError\u001b[0m: (\"Duplicate entry '100' for key 'student.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')" + ] + } + ], "source": [ "Student.insert(\n", " dict(k, student_id=i) for i, k in zip(range(100,300), yield_students()))" @@ -681,7 +776,20 @@ "cell_type": "code", "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "DuplicateError", + "evalue": "(\"Duplicate entry 'CS' for key 'department.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mDuplicateError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m Department\u001b[39m.\u001b[39;49minsert(\n\u001b[1;32m 2\u001b[0m \u001b[39mdict\u001b[39;49m(dept\u001b[39m=\u001b[39;49mdept, \n\u001b[1;32m 3\u001b[0m dept_name\u001b[39m=\u001b[39;49mname, \n\u001b[1;32m 4\u001b[0m dept_address\u001b[39m=\u001b[39;49mfake\u001b[39m.\u001b[39;49maddress(), \n\u001b[1;32m 5\u001b[0m dept_phone\u001b[39m=\u001b[39;49mfake\u001b[39m.\u001b[39;49mphone_number()[:\u001b[39m20\u001b[39;49m])\n\u001b[1;32m 6\u001b[0m \u001b[39mfor\u001b[39;49;00m dept, name \u001b[39min\u001b[39;49;00m [\n\u001b[1;32m 7\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mCS\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mComputer Science\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 8\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mBIOL\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mLife Sciences\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 9\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mPHYS\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mPhysics\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 10\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mMATH\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mMathematics\u001b[39;49m\u001b[39m\"\u001b[39;49m]])\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/datajoint/table.py:453\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 450\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 451\u001b[0m )\n\u001b[1;32m 452\u001b[0m \u001b[39mexcept\u001b[39;00m DuplicateError \u001b[39mas\u001b[39;00m err:\n\u001b[0;32m--> 453\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 454\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore duplicate entries in insert, set skip_duplicates=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 455\u001b[0m )\n", + "\u001b[0;31mDuplicateError\u001b[0m: (\"Duplicate entry 'CS' for key 'department.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')" + ] + } + ], "source": [ "Department.insert(\n", " dict(dept=dept, \n", diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb index 8049295..ba3460b 100644 --- a/db-course/004-Design.ipynb +++ b/db-course/004-Design.ipynb @@ -30,8 +30,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "[2023-10-18 00:11:41,855][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-18 00:11:41,862][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-10-24 23:22:27,667][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-24 23:22:27,674][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] } ], @@ -334,9 +334,9 @@ "\n", "\n", "\n", - "\n", + "\n", "Purchase\n", - "\n", + "\n", "\n", "Purchase\n", "\n", @@ -362,9 +362,9 @@ "\n", "\n", "\n", - "\n", + "\n", "Account\n", - "\n", + "\n", "\n", "Account\n", "\n", @@ -384,7 +384,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -539,55 +539,55 @@ "

sex

\n", " \n", " \n", - " 10003214241\n", - "Samantha\n", - "Johnson\n", - "1948-01-03\n", - "F10013304597\n", - "Keith\n", - "Page\n", - "1981-06-02\n", - "M10019792010\n", - "Greg\n", - "Matthews\n", - "1964-06-26\n", - "M10022078153\n", - "Tammy\n", - "Thompson\n", - "1998-02-18\n", - "F10023766171\n", - "Dominic\n", - "Marshall\n", - "1954-12-05\n", - "M10039535776\n", - "Rachel\n", - "Grant\n", - "1910-04-13\n", - "F10042202885\n", - "Dale\n", - "Dawson\n", - "1913-04-29\n", - "M10042418609\n", - "Kimberly\n", - "Hoffman\n", - "1934-07-15\n", - "F10043174442\n", - "Zachary\n", - "Sharp\n", - "1974-03-18\n", - "M10044400960\n", - "Thomas\n", - "Lin\n", - "1989-06-02\n", - "M10046630170\n", - "Heather\n", - "Young\n", - "1932-01-15\n", - "F10053952518\n", - "Michelle\n", - "Gonzalez\n", - "2006-02-12\n", - "F \n", + " 10013740006\n", + "Gina\n", + "Shaw\n", + "1914-11-23\n", + "F10016834227\n", + "Elizabeth\n", + "Weeks\n", + "1936-09-04\n", + "F10019159850\n", + "Joshua\n", + "Mcdowell\n", + "2007-12-14\n", + "M10027902431\n", + "Robert\n", + "Bailey\n", + "2002-10-16\n", + "M10052023046\n", + "Peter\n", + "English\n", + "2023-09-22\n", + "M10060545047\n", + "Latoya\n", + "Cohen\n", + "1917-01-02\n", + "F10074130737\n", + "Gina\n", + "Walters\n", + "2023-09-24\n", + "F10079483739\n", + "Gina\n", + "Compton\n", + "1934-08-10\n", + "F10089699053\n", + "Terri\n", + "Reid\n", + "1987-05-22\n", + "F10091646939\n", + "Katherine\n", + "Hernandez\n", + "1979-07-26\n", + "F10092272331\n", + "Linda\n", + "Gross\n", + "1984-08-15\n", + "F10110229863\n", + "Brandon\n", + "Jones\n", + "1951-12-04\n", + "M \n", " \n", "

...

\n", "

Total: 10501

\n", @@ -596,18 +596,18 @@ "text/plain": [ "*phone first_name last_name dob sex \n", "+------------+ +------------+ +-----------+ +------------+ +-----+\n", - "10003214241 Samantha Johnson 1948-01-03 F \n", - "10013304597 Keith Page 1981-06-02 M \n", - "10019792010 Greg Matthews 1964-06-26 M \n", - "10022078153 Tammy Thompson 1998-02-18 F \n", - "10023766171 Dominic Marshall 1954-12-05 M \n", - "10039535776 Rachel Grant 1910-04-13 F \n", - "10042202885 Dale Dawson 1913-04-29 M \n", - "10042418609 Kimberly Hoffman 1934-07-15 F \n", - "10043174442 Zachary Sharp 1974-03-18 M \n", - "10044400960 Thomas Lin 1989-06-02 M \n", - "10046630170 Heather Young 1932-01-15 F \n", - "10053952518 Michelle Gonzalez 2006-02-12 F \n", + "10013740006 Gina Shaw 1914-11-23 F \n", + "10016834227 Elizabeth Weeks 1936-09-04 F \n", + "10019159850 Joshua Mcdowell 2007-12-14 M \n", + "10027902431 Robert Bailey 2002-10-16 M \n", + "10052023046 Peter English 2023-09-22 M \n", + "10060545047 Latoya Cohen 1917-01-02 F \n", + "10074130737 Gina Walters 2023-09-24 F \n", + "10079483739 Gina Compton 1934-08-10 F \n", + "10089699053 Terri Reid 1987-05-22 F \n", + "10091646939 Katherine Hernandez 1979-07-26 F \n", + "10092272331 Linda Gross 1984-08-15 F \n", + "10110229863 Brandon Jones 1951-12-04 M \n", " ...\n", " (Total: 10501)" ] diff --git a/db-course/004-DesignSQL.ipynb b/db-course/004-DesignSQL.ipynb index f724191..1596fcc 100644 --- a/db-course/004-DesignSQL.ipynb +++ b/db-course/004-DesignSQL.ipynb @@ -28,22 +28,13 @@ "%load_ext sql\n", "%config SqlMagic.autocommit=True\n", "\n", - "connection_string = \"mysql://root:simple@127.0.0.1\"" + "%sql mysql://root:simple@127.0.0.1" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], - "source": [ - "%sql $connection_string" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, "outputs": [ { "name": "stdout", @@ -59,7 +50,7 @@ "[]" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } diff --git a/db-course/005-Queries-HW.ipynb b/db-course/005-Queries-HW.ipynb index 6466105..0d838bd 100644 --- a/db-course/005-Queries-HW.ipynb +++ b/db-course/005-Queries-HW.ipynb @@ -13,9 +13,98 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import datajoint as dj\n", "schema = dj.Schema('app')\n", @@ -32,9 +121,125 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

dob

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
64562239472PaulaRivera1997-03-25F
65595240075PaulaMaxwell1992-04-07F
70881345723PaulPowell1993-03-25M
87062540501PaulaSullivan1994-05-27F
88149453963PaulHale1995-04-16M
\n", + " \n", + "

Total: 5

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "64562239472 Paula Rivera 1997-03-25 F \n", + "65595240075 Paula Maxwell 1992-04-07 F \n", + "70881345723 Paul Powell 1993-03-25 M \n", + "87062540501 Paula Sullivan 1994-05-27 F \n", + "88149453963 Paul Hale 1995-04-16 M \n", + " (Total: 5)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "\n", "Account & 'first_name in (\"Paul\", \"Paula\")' & 'year(dob) between 1990 and 1999'" @@ -48,6 +253,446 @@ "Hint: Look into the use of wildcard pattern matching in MySQL https://dev.mysql.com/doc/refman/8.0/en/pattern-matching.html" ] }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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phone

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\n", + "

first_name

\n", + " \n", + "
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last_name

\n", + " \n", + "
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dob

\n", + " \n", + "
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sex

\n", + " \n", + "
10856410224RussellRamirez2013-03-15M
13536738702CharlesRamirez2006-08-12M
23530945303RaymondRamirez2012-02-24M
34265700814StevenRaymond2007-09-26M
48210412157CharlesRamirez2022-07-19M
48982711569MatthewRamirez2018-10-29M
57783081396MichaelRamsey2015-02-11M
61704905238BryanRamirez2010-05-28M
\n", + " \n", + "

Total: 8

\n", + " " + ], + "text/plain": [ + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +-----------+ +------------+ +-----+\n", + "10856410224 Russell Ramirez 2013-03-15 M \n", + "13536738702 Charles Ramirez 2006-08-12 M \n", + "23530945303 Raymond Ramirez 2012-02-24 M \n", + "34265700814 Steven Raymond 2007-09-26 M \n", + "48210412157 Charles Ramirez 2022-07-19 M \n", + "48982711569 Matthew Ramirez 2018-10-29 M \n", + "57783081396 Michael Ramsey 2015-02-11 M \n", + "61704905238 Bryan Ramirez 2010-05-28 M \n", + " (Total: 8)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & 'sex=\"M\"' & 'last_name LIKE \"Ra%\"' & 'dob BETWEEN \"2004-01-01\" AND \"2023-01-01\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([(84217041960, 'Timothy', 'Ramos', datetime.date(2023, 8, 14), 'M'),\n", + " (48210412157, 'Charles', 'Ramirez', datetime.date(2022, 7, 19), 'M'),\n", + " (48982711569, 'Matthew', 'Ramirez', datetime.date(2018, 10, 29), 'M'),\n", + " (57783081396, 'Michael', 'Ramsey', datetime.date(2015, 2, 11), 'M'),\n", + " (10856410224, 'Russell', 'Ramirez', datetime.date(2013, 3, 15), 'M'),\n", + " (23530945303, 'Raymond', 'Ramirez', datetime.date(2012, 2, 24), 'M'),\n", + " (61704905238, 'Bryan', 'Ramirez', datetime.date(2010, 5, 28), 'M'),\n", + " (34265700814, 'Steven', 'Raymond', datetime.date(2007, 9, 26), 'M'),\n", + " (13536738702, 'Charles', 'Ramirez', datetime.date(2006, 8, 12), 'M'),\n", + " (11633552162, 'Daniel', 'Ramirez', datetime.date(1998, 1, 20), 'M')],\n", + " dtype=[('phone', '\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
first_namelast_namedobsex
phone
84217041960TimothyRamos2023-08-14M
48210412157CharlesRamirez2022-07-19M
48982711569MatthewRamirez2018-10-29M
57783081396MichaelRamsey2015-02-11M
10856410224RussellRamirez2013-03-15M
23530945303RaymondRamirez2012-02-24M
61704905238BryanRamirez2010-05-28M
34265700814StevenRaymond2007-09-26M
13536738702CharlesRamirez2006-08-12M
11633552162DanielRamirez1998-01-20M
\n", + "" + ], + "text/plain": [ + " first_name last_name dob sex\n", + "phone \n", + "84217041960 Timothy Ramos 2023-08-14 M\n", + "48210412157 Charles Ramirez 2022-07-19 M\n", + "48982711569 Matthew Ramirez 2018-10-29 M\n", + "57783081396 Michael Ramsey 2015-02-11 M\n", + "10856410224 Russell Ramirez 2013-03-15 M\n", + "23530945303 Raymond Ramirez 2012-02-24 M\n", + "61704905238 Bryan Ramirez 2010-05-28 M\n", + "34265700814 Steven Raymond 2007-09-26 M\n", + "13536738702 Charles Ramirez 2006-08-12 M\n", + "11633552162 Daniel Ramirez 1998-01-20 M" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Account & 'sex=\"M\"' & 'last_name LIKE \"Ra%\"').fetch(order_by='dob DESC', limit=10, format=\"frame\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_namedobsex
84217041960TimothyRamos2023-08-14M
48210412157CharlesRamirez2022-07-19M
48982711569MatthewRamirez2018-10-29M
57783081396MichaelRamsey2015-02-11M
10856410224RussellRamirez2013-03-15M
23530945303RaymondRamirez2012-02-24M
61704905238BryanRamirez2010-05-28M
34265700814StevenRaymond2007-09-26M
13536738702CharlesRamirez2006-08-12M
11633552162DanielRamirez1998-01-20M
" + ], + "text/plain": [ + "[(84217041960, 'Timothy', 'Ramos', datetime.date(2023, 8, 14), 'M'),\n", + " (48210412157, 'Charles', 'Ramirez', datetime.date(2022, 7, 19), 'M'),\n", + " (48982711569, 'Matthew', 'Ramirez', datetime.date(2018, 10, 29), 'M'),\n", + " (57783081396, 'Michael', 'Ramsey', datetime.date(2015, 2, 11), 'M'),\n", + " (10856410224, 'Russell', 'Ramirez', datetime.date(2013, 3, 15), 'M'),\n", + " (23530945303, 'Raymond', 'Ramirez', datetime.date(2012, 2, 24), 'M'),\n", + " (61704905238, 'Bryan', 'Ramirez', datetime.date(2010, 5, 28), 'M'),\n", + " (34265700814, 'Steven', 'Raymond', datetime.date(2007, 9, 26), 'M'),\n", + " (13536738702, 'Charles', 'Ramirez', datetime.date(2006, 8, 12), 'M'),\n", + " (11633552162, 'Daniel', 'Ramirez', datetime.date(1998, 1, 20), 'M')]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "USE app; \n", + "SELECT * \n", + " FROM account \n", + " WHERE sex=\"M\" AND last_name LIKE \"Ra%\" \n", + " ORDER BY dob DESC LIMIT 10" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -58,6 +703,197 @@ "Hint: Comparing to NULL, use `IS NULL` or `IS NOT NULL` https://dev.mysql.com/doc/refman/8.0/en/working-with-null.html" ] }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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full_name
phone
43491261833Adams, Heather
83134450914Allen, Brian
79135301655Allen, Jaclyn
76954265299Allison, Carrie
75682797766Alvarado, Tiffany
84436951717Alvarez, Robert
31051161174Andersen, Michelle
55950405914Anderson, David
41913101932Anderson, Jared
73383687532Anderson, Shelby
\n", + "
" + ], + "text/plain": [ + " full_name\n", + "phone \n", + "43491261833 Adams, Heather\n", + "83134450914 Allen, Brian\n", + "79135301655 Allen, Jaclyn\n", + "76954265299 Allison, Carrie\n", + "75682797766 Alvarado, Tiffany\n", + "84436951717 Alvarez, Robert\n", + "31051161174 Andersen, Michelle\n", + "55950405914 Anderson, David\n", + "41913101932 Anderson, Jared\n", + "73383687532 Anderson, Shelby" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Account & 'dob IS NULL').proj(full_name=\"CONCAT(last_name, ', ', first_name)\").fetch(\n", + " order_by= 'full_name', limit=10, format=\"frame\")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
full_name
Adams, Heather
Allen, Brian
Allen, Jaclyn
Allison, Carrie
Alvarado, Tiffany
Alvarez, Robert
Andersen, Michelle
Anderson, David
Anderson, Jared
Anderson, Shelby
" + ], + "text/plain": [ + "[('Adams, Heather',),\n", + " ('Allen, Brian',),\n", + " ('Allen, Jaclyn',),\n", + " ('Allison, Carrie',),\n", + " ('Alvarado, Tiffany',),\n", + " ('Alvarez, Robert',),\n", + " ('Andersen, Michelle',),\n", + " ('Anderson, David',),\n", + " ('Anderson, Jared',),\n", + " ('Anderson, Shelby',)]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SELECT CONCAT(last_name, ', ', first_name) as full_name FROM account WHERE dob is NULL ORDER BY (full_name) LIMIT 10 " + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -66,6 +902,270 @@ "Hint: look into date functions https://dev.mysql.com/doc/refman/8.0/en/date-and-time-functions.html" ] }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
full_nameage
Adams Amy39
Adams Anita23
Adams Jasmin72
Alexander Andrea19
Ali Ruth85
Allen Amanda52
Allen Julie111
Allen Kimberly1
Anderson Crystal60
Anderson Shannon50
" + ], + "text/plain": [ + "[('Adams Amy', 39),\n", + " ('Adams Anita', 23),\n", + " ('Adams Jasmin', 72),\n", + " ('Alexander Andrea', 19),\n", + " ('Ali Ruth', 85),\n", + " ('Allen Amanda', 52),\n", + " ('Allen Julie', 111),\n", + " ('Allen Kimberly', 1),\n", + " ('Anderson Crystal', 60),\n", + " ('Anderson Shannon', 50)]" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT CONCAT(last_name,\" \",first_name) as full_name, \n", + " FLOOR(DATEDIFF(NOW(),dob) / 365.25) as age FROM account Where EXTRACT(MONTH FROM dob) = 6 and sex = 'F'\n", + "ORDER BY full_name\n", + "limit 10" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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full_nameage
phone
37162199170Adams, Amy39
16124462313Adams, Anita23
72775063589Adams, Jasmin72
42738526910Alexander, Andrea19
41294256935Ali, Ruth85
68566634095Allen, Amanda52
60532809624Allen, Julie111
40455691998Allen, Kimberly1
69848440274Anderson, Crystal60
39812426076Anderson, Shannon50
\n", + "
" + ], + "text/plain": [ + " full_name age\n", + "phone \n", + "37162199170 Adams, Amy 39\n", + "16124462313 Adams, Anita 23\n", + "72775063589 Adams, Jasmin 72\n", + "42738526910 Alexander, Andrea 19\n", + "41294256935 Ali, Ruth 85\n", + "68566634095 Allen, Amanda 52\n", + "60532809624 Allen, Julie 111\n", + "40455691998 Allen, Kimberly 1\n", + "69848440274 Anderson, Crystal 60\n", + "39812426076 Anderson, Shannon 50" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Account & 'sex = \"F\"' & 'MONTH(dob) = 6').proj(full_name='CONCAT(last_name, \", \", first_name)',\n", + "age='YEAR(CURDATE()) - YEAR(dob)').fetch(order_by='last_name, first_name', limit=10, format='frame')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
age
0
" + ], + "text/plain": [ + "[(0,)]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SELECT FLOOR(DATEDIFF(CURDATE(), \"2022-10-24\") / 365.25) as age" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -73,6 +1173,134 @@ "#### Problem 5: Show the full information of the youngest person who has a credit card." ] }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_namedobsex
63099749199MartinSexton2023-10-17M
" + ], + "text/plain": [ + "[(63099749199, 'Martin', 'Sexton', datetime.date(2023, 10, 17), 'M')]" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql \n", + "\n", + "SELECT *\n", + "FROM account\n", + "WHERE phone IN (SELECT phone FROM credit_card)\n", + "ORDER BY dob DESC\n", + "LIMIT 1" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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dobfull_nameage_in_day
phone
630997491992023-10-17Sexton, Martin7
\n", + "
" + ], + "text/plain": [ + " dob full_name age_in_day\n", + "phone \n", + "63099749199 2023-10-17 Sexton, Martin 7" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Account & CreditCard).aggr(Account.proj(excluded='sex'), dob='MIN(dob)', full_name='CONCAT(last_name, \", \", first_name)',\n", + "age_in_day='DAY(CURDATE()) - DAY(dob)').fetch(order_by='dob DESC', limit=1, format='frame')" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -80,6 +1308,66 @@ "#### Problem 6: Show the full information of the oldest person who does not have a credit card." ] }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_namedobsex
37263819642VictoriaPratt1907-10-28F
" + ], + "text/plain": [ + "[(37263819642, 'Victoria', 'Pratt', datetime.date(1907, 10, 28), 'F')]" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SELECT *\n", + "FROM account\n", + "WHERE phone NOT IN (SELECT phone FROM credit_card) and dob IS NOT NULL\n", + "ORDER BY dob\n", + "LIMIT 1" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -87,6 +1375,522 @@ "#### Problem 7: Show the first 10 customers who purchased the \"Sprint\" addon, including their age in years." ] }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "(pymysql.err.NotSupportedError) (1235, \"This version of MySQL doesn't yet support 'LIMIT & IN/ALL/ANY/SOME subquery'\")\n", + "[SQL: SELECT phone, first_name, last_name, sex, floor(datediff(now(), dob)/365.25) age \n", + "FROM account\n", + "WHERE phone IN (SELECT phone FROM purchase WHERE addon_id=3 ORDER BY (purchase_date) LIMIT 10)]\n", + "(Background on this error at: https://sqlalche.me/e/20/tw8g)\n" + ] + } + ], + "source": [ + "%%sql\n", + "SELECT phone, first_name, last_name, sex, floor(datediff(now(), dob)/365.25) age \n", + "FROM account\n", + "WHERE phone IN (SELECT phone FROM purchase WHERE addon_id=3 ORDER BY (purchase_date) LIMIT 10)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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first_namelast_namepurchase_dateaddon_nameage
phoneaddon_id
158756514813NormaPierce2023-09-24Sprint35
324240792513DavidGoodwin2023-09-24Sprint85
289559392583BenjaminFrazier2023-09-24Sprint110
210442294573LawrenceCollier2023-09-24Sprint31
322598168373SusanPerez2023-09-24Sprint29
267745316413CameronHo2023-09-24Sprint40
290260724293AdamCruz2023-09-24Sprint30
171821625253ScottSmith2023-09-24Sprint18
299198336813DavidValdez2023-09-24Sprint3
240465203983SusanHunter2023-09-24Sprint30
\n", + "
" + ], + "text/plain": [ + " first_name last_name purchase_date addon_name age\n", + "phone addon_id \n", + "15875651481 3 Norma Pierce 2023-09-24 Sprint 35\n", + "32424079251 3 David Goodwin 2023-09-24 Sprint 85\n", + "28955939258 3 Benjamin Frazier 2023-09-24 Sprint 110\n", + "21044229457 3 Lawrence Collier 2023-09-24 Sprint 31\n", + "32259816837 3 Susan Perez 2023-09-24 Sprint 29\n", + "26774531641 3 Cameron Ho 2023-09-24 Sprint 40\n", + "29026072429 3 Adam Cruz 2023-09-24 Sprint 30\n", + "17182162525 3 Scott Smith 2023-09-24 Sprint 18\n", + "29919833681 3 David Valdez 2023-09-24 Sprint 3\n", + "24046520398 3 Susan Hunter 2023-09-24 Sprint 30" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "((Account * Purchase * AddOn) & ('addon_name = \"Sprint\"') & ('dob IS NOT NULL')\n", + " ).aggr(Account.proj(excluded='sex'),\n", + " 'last_name', 'first_name', 'purchase_date','addon_name', \n", + " age='YEAR(CURDATE()) - YEAR(dob)'\n", + " ).fetch(order_by='purchase_date', limit=10, format='frame')" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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Total: 0

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first_namelast_namedobsexcard_numberpurchase_dateaddon_nameprice
phoneaddon_id
267745316413CameronHo1983-11-18M3705081065936212023-09-24Sprint100.00
158756514813NormaPierce1988-12-10F3402589194449872023-09-24Sprint100.00
210442294573LawrenceCollier1992-10-28M48755982717238162023-09-24Sprint100.00
322598168373SusanPerez1994-04-08F303317663008372023-09-24Sprint100.00
324240792513DavidGoodwin1938-02-19M382974861067742023-09-24Sprint100.00
299198336813DavidValdez2020-10-30M41074082345802023-09-24Sprint100.00
289559392583BenjaminFrazier1913-07-31M41891968361601932023-09-24Sprint100.00
290260724293AdamCruz1993-02-02M49588298730952023-09-24Sprint100.00
240465203983SusanHunter1993-11-19F35044292960459132023-09-24Sprint100.00
171821625253ScottSmith2005-09-06M40025746380392023-09-24Sprint100.00
\n", + "
" + ], + "text/plain": [ + " first_name last_name dob sex card_number \\\n", + "phone addon_id \n", + "26774531641 3 Cameron Ho 1983-11-18 M 370508106593621 \n", + "15875651481 3 Norma Pierce 1988-12-10 F 340258919444987 \n", + "21044229457 3 Lawrence Collier 1992-10-28 M 4875598271723816 \n", + "32259816837 3 Susan Perez 1994-04-08 F 30331766300837 \n", + "32424079251 3 David Goodwin 1938-02-19 M 38297486106774 \n", + "29919833681 3 David Valdez 2020-10-30 M 4107408234580 \n", + "28955939258 3 Benjamin Frazier 1913-07-31 M 4189196836160193 \n", + "29026072429 3 Adam Cruz 1993-02-02 M 4958829873095 \n", + "24046520398 3 Susan Hunter 1993-11-19 F 3504429296045913 \n", + "17182162525 3 Scott Smith 2005-09-06 M 4002574638039 \n", + "\n", + " purchase_date addon_name price \n", + "phone addon_id \n", + "26774531641 3 2023-09-24 Sprint 100.00 \n", + "15875651481 3 2023-09-24 Sprint 100.00 \n", + "21044229457 3 2023-09-24 Sprint 100.00 \n", + "32259816837 3 2023-09-24 Sprint 100.00 \n", + "32424079251 3 2023-09-24 Sprint 100.00 \n", + "29919833681 3 2023-09-24 Sprint 100.00 \n", + "28955939258 3 2023-09-24 Sprint 100.00 \n", + "29026072429 3 2023-09-24 Sprint 100.00 \n", + "24046520398 3 2023-09-24 Sprint 100.00 \n", + "17182162525 3 2023-09-24 Sprint 100.00 " + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Account * Purchase * AddOn & 'addon_name=\"Sprint\"').fetch(order_by='purchase_date', limit=10, format=\"frame\")" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/db-course/006-Joins-HW.ipynb b/db-course/006-Joins-HW.ipynb index ae88eaa..cbe4bce 100644 --- a/db-course/006-Joins-HW.ipynb +++ b/db-course/006-Joins-HW.ipynb @@ -2,9 +2,18 @@ "cells": [ { "cell_type": "code", - "execution_count": 10, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-24 23:07:16,843][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-24 23:07:16,851][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "\n", @@ -23,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -33,106 +42,100 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "7\n", + "1\n", "\n", - "7\n", + "1\n", "\n", "\n", - "\n", + "\n", "Report\n", - "\n", + "\n", "\n", "Report\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "7->Report\n", + "1->Report\n", "\n", "\n", - "\n", + "\n", "\n", - "6\n", + "0\n", "\n", - "6\n", + "0\n", "\n", "\n", - "\n", + "\n", "Customer\n", - "\n", + "\n", "\n", "Customer\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "6->Customer\n", + "0->Customer\n", "\n", "\n", - "\n", + "\n", "\n", - "Order.Item\n", - "\n", - "\n", - "Order.Item\n", + "Payment\n", + "\n", + "\n", + "Payment\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Order\n", - "\n", - "\n", - "Order\n", + "\n", + "\n", + "Order\n", "\n", "\n", "\n", - "\n", - "\n", - "Customer->Order\n", - "\n", - "\n", - "\n", - "\n", - "Payment\n", - "\n", - "\n", - "Payment\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", "\n", "\n", "\n", - "\n", - "\n", - "Customer->Payment\n", - "\n", + "\n", + "\n", + "Order->Order.Item\n", + "\n", "\n", - "\n", - "\n", - "Employee\n", - "\n", - "\n", - "Employee\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", "\n", "\n", "\n", - "\n", - "\n", - "Employee->7\n", - "\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "Product\n", + "\n", "\n", - "\n", - "\n", - "Employee->6\n", - "\n", "\n", - "\n", - "\n", - "Order->Order.Item\n", - "\n", + "\n", + "\n", + "ProductLine->Product\n", + "\n", "\n", "\n", "\n", @@ -143,47 +146,53 @@ "\n", "\n", "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", "\n", - "\n", + "\n", "Office->Employee\n", "\n", "\n", - "\n", - "\n", - "ProductLine\n", - "\n", - "\n", - "ProductLine\n", - "\n", + "\n", + "\n", + "Product->Order.Item\n", + "\n", "\n", + "\n", + "\n", + "Customer->Payment\n", + "\n", "\n", - "\n", - "\n", - "Product\n", - "\n", - "\n", - "Product\n", - "\n", + "\n", + "\n", + "Customer->Order\n", + "\n", "\n", + "\n", + "\n", + "Employee->1\n", + "\n", "\n", - "\n", + "\n", "\n", - "ProductLine->Product\n", - "\n", - "\n", - "\n", - "\n", - "Product->Order.Item\n", - "\n", + "Employee->0\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -194,121 +203,121 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", - "\n", - "Continents\n", - "\n", - "\n", - "Continents\n", - "\n", - "\n", - "\n", + "\n", "\n", - "\n", + "\n", "Regions\n", - "\n", - "\n", - "Regions\n", + "\n", + "\n", + "Regions\n", "\n", "\n", "\n", - "\n", - "\n", - "Continents->Regions\n", - "\n", - "\n", - "\n", - "\n", - "Guests\n", - "\n", - "\n", - "Guests\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "Countries\n", "\n", "\n", "\n", - "\n", - "\n", - "RegionAreas\n", - "\n", - "\n", - "RegionAreas\n", - "\n", - "\n", + "\n", + "\n", + "Regions->Countries\n", + "\n", "\n", "\n", - "\n", + "\n", "CountryStats\n", - "\n", - "\n", - "CountryStats\n", + "\n", + "\n", + "CountryStats\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Languages\n", - "\n", - "\n", - "Languages\n", + "\n", + "\n", + "Languages\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "CountryLanguages\n", - "\n", - "\n", - "CountryLanguages\n", + "\n", + "\n", + "CountryLanguages\n", "\n", "\n", "\n", "\n", "\n", "Languages->CountryLanguages\n", - "\n", + "\n", "\n", - "\n", - "\n", - "Countries\n", - "\n", - "\n", - "Countries\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "Guests\n", "\n", "\n", "\n", "\n", "\n", "Countries->CountryStats\n", - "\n", + "\n", "\n", "\n", "\n", "Countries->CountryLanguages\n", - "\n", + "\n", "\n", - "\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "\n", + "\n", "\n", - "Regions->Countries\n", - "\n", + "Continents->Regions\n", + "\n", + "\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -319,7 +328,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -329,70 +338,70 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "Room\n", - "\n", - "\n", - "Room\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", "\n", "\n", "\n", - "\n", + "\n", "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn->CheckOut\n", + "\n", + "\n", + "\n", + "\n", "RoomAvailable\n", - "\n", + "\n", "\n", "RoomAvailable\n", "\n", "\n", "\n", - "\n", - "\n", - "Room->RoomAvailable\n", - "\n", - "\n", "\n", - "\n", + "\n", "Reservation\n", - "\n", + "\n", "\n", "Reservation\n", "\n", "\n", "\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "\n", - "\n", + "\n", "\n", - "Reservation->CheckIn\n", - "\n", + "RoomAvailable->Reservation\n", + "\n", "\n", - "\n", - "\n", - "CheckOut\n", - "\n", - "\n", - "CheckOut\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "Room\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "CheckIn->CheckOut\n", - "\n", + "Room->RoomAvailable\n", + "\n", "\n", - "\n", + "\n", "\n", - "RoomAvailable->Reservation\n", - "\n", + "Reservation->CheckIn\n", + "\n", "\n", "\n", "\n", @@ -412,10 +421,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -426,7 +435,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -436,51 +445,70 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "Section\n", - "\n", - "\n", - "Section\n", + "Course\n", + "\n", + "\n", + "Course\n", "\n", "\n", "\n", - "\n", - "\n", - "Enroll\n", - "\n", - "\n", - "Enroll\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "Section\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Section->Enroll\n", - "\n", + "Course->Section\n", + "\n", "\n", - "\n", + "\n", "\n", - "Grade\n", - "\n", - "\n", - "Grade\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Course\n", - "\n", - "\n", - "Course\n", + "Department\n", + "\n", + "\n", + "Department\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Course->Section\n", - "\n", + "Department->Course\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Section->Enroll\n", + "\n", "\n", "\n", "\n", @@ -491,114 +519,927 @@ "\n", "\n", "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", "\n", - "\n", + "\n", "LetterGrade->Grade\n", "\n", "\n", - "\n", + "\n", "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", "Term\n", - "\n", + "\n", "\n", "Term\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Term->Section\n", "\n", "\n", "\n", - "\n", + "\n", "CurrentTerm\n", - "\n", + "\n", "\n", "CurrentTerm\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Term->CurrentTerm\n", "\n", "\n", "\n", - "\n", + "\n", "Enroll->Grade\n", "\n", "\n", - "\n", - "\n", - "StudentMajor\n", - "\n", - "\n", - "StudentMajor\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(university)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 6: Joins\n", + "\n", + "The following queries may require joins. Some queries may be performed using subquiries without joins." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "9\n", + "\n", + "9\n", + "\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", "\n", "\n", "\n", - "\n", + "\n", + "\n", + "9->Report\n", + "\n", + "\n", + "\n", + "\n", + "8\n", + "\n", + "8\n", + "\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "8->Customer\n", + "\n", + "\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "\n", + "\n", "\n", - "Department\n", - "\n", - "\n", - "Department\n", + "Product\n", + "\n", + "\n", + "Product\n", "\n", "\n", "\n", - "\n", - "\n", - "Department->Course\n", - "\n", + "\n", + "\n", + "ProductLine->Product\n", + "\n", "\n", - "\n", - "\n", - "Department->StudentMajor\n", - "\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "Office\n", + "\n", "\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "Student\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", "\n", "\n", "\n", - "\n", - "\n", - "Student->Enroll\n", - "\n", + "\n", + "\n", + "Office->Employee\n", + "\n", "\n", - "\n", + "\n", + "\n", + "Product->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Payment\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Order\n", + "\n", + "\n", + "\n", "\n", - "Student->StudentMajor\n", - "\n", + "Employee->9\n", + "\n", + "\n", + "\n", + "\n", + "Employee->8\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dj.Diagram(university)" + "dj.Diagram(sales)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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state

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10021MurphyDianeSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
10561PattersonMarySan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
10761FirrelliJeffSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11431BowAnthonySan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11651JenningsLeslieSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11661ThompsonLeslieSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11882FirrelliJulieBoston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
12162PattersonSteveBoston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
12863TsengFoon YueNYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
13233VanaufGeorgeNYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
11024BondurGerardParis+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
13374BondurLouiParis+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
\n", + "

...

\n", + "

Total: 23

\n", + " " + ], + "text/plain": [ + "*employee_numb *office_code last_name first_name city phone postal_line1 postal_line2 state country postal_code territory \n", + "+------------+ +------------+ +-----------+ +------------+ +------------+ +------------+ +------------+ +------------+ +-------+ +---------+ +------------+ +-----------+\n", + "1002 1 Murphy Diane San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", + "1056 1 Patterson Mary San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", + "1076 1 Firrelli Jeff San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", + "1143 1 Bow Anthony San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", + "1165 1 Jennings Leslie San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", + "1166 1 Thompson Leslie San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", + "1188 2 Firrelli Julie Boston +1 215 837 082 1550 Court Pla Suite 102 MA USA 02107 NA \n", + "1216 2 Patterson Steve Boston +1 215 837 082 1550 Court Pla Suite 102 MA USA 02107 NA \n", + "1286 3 Tseng Foon Yue NYC +1 212 555 300 523 East 53rd apt. 5A NY USA 10022 NA \n", + "1323 3 Vanauf George NYC +1 212 555 300 523 East 53rd apt. 5A NY USA 10022 NA \n", + "1102 4 Bondur Gerard Paris +33 14 723 440 43 Rue Jouffro None None France 75017 EMEA \n", + "1337 4 Bondur Loui Paris +33 14 723 440 43 Rue Jouffro None None France 75017 EMEA \n", + " ...\n", + " (Total: 23)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# List all employees names with their office address\n", + "Employee.proj('first_name', 'last_name', 'office_code') * Office " + ] + }, + { + "cell_type": "code", + "execution_count": 14, "metadata": {}, + "outputs": [], "source": [ - "# Homework 6: Joins\n", + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", "\n", - "The following queries may require joins. Some queries may be performed using subquiries without joins." + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "23 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
first_namelast_nameoffice_codecityphonepostal_line1postal_line2statecountrypostal_codeterritory
DianeMurphy1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
MaryPatterson1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
JeffFirrelli1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
AnthonyBow1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
LeslieJennings1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
LeslieThompson1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
JulieFirrelli2Boston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
StevePatterson2Boston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
Foon YueTseng3NYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
GeorgeVanauf3NYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
GerardBondur4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
LouiBondur4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
GerardHernandez4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
PamelaCastillo4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
MartinGerard4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
MamiNishi5Tokyo+81 33 224 50004-1 KioichoNoneChiyoda-KuJapan102-8578Japan
YoshimiKato5Tokyo+81 33 224 50004-1 KioichoNoneChiyoda-KuJapan102-8578Japan
WilliamPatterson6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
AndyFixter6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
PeterMarsh6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
TomKing6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
LarryBott7London+44 20 7877 204125 Old Broad StreetLevel 7NoneUKEC2N 1HNEMEA
BarryJones7London+44 20 7877 204125 Old Broad StreetLevel 7NoneUKEC2N 1HNEMEA
" + ], + "text/plain": [ + "[('Diane', 'Murphy', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", + " ('Mary', 'Patterson', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", + " ('Jeff', 'Firrelli', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", + " ('Anthony', 'Bow', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", + " ('Leslie', 'Jennings', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", + " ('Leslie', 'Thompson', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", + " ('Julie', 'Firrelli', '2', 'Boston', '+1 215 837 0825', '1550 Court Place', 'Suite 102', 'MA', 'USA', '02107', 'NA'),\n", + " ('Steve', 'Patterson', '2', 'Boston', '+1 215 837 0825', '1550 Court Place', 'Suite 102', 'MA', 'USA', '02107', 'NA'),\n", + " ('Foon Yue', 'Tseng', '3', 'NYC', '+1 212 555 3000', '523 East 53rd Street', 'apt. 5A', 'NY', 'USA', '10022', 'NA'),\n", + " ('George', 'Vanauf', '3', 'NYC', '+1 212 555 3000', '523 East 53rd Street', 'apt. 5A', 'NY', 'USA', '10022', 'NA'),\n", + " ('Gerard', 'Bondur', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", + " ('Loui', 'Bondur', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", + " ('Gerard', 'Hernandez', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", + " ('Pamela', 'Castillo', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", + " ('Martin', 'Gerard', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", + " ('Mami', 'Nishi', '5', 'Tokyo', '+81 33 224 5000', '4-1 Kioicho', None, 'Chiyoda-Ku', 'Japan', '102-8578', 'Japan'),\n", + " ('Yoshimi', 'Kato', '5', 'Tokyo', '+81 33 224 5000', '4-1 Kioicho', None, 'Chiyoda-Ku', 'Japan', '102-8578', 'Japan'),\n", + " ('William', 'Patterson', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", + " ('Andy', 'Fixter', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", + " ('Peter', 'Marsh', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", + " ('Tom', 'King', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", + " ('Larry', 'Bott', '7', 'London', '+44 20 7877 2041', '25 Old Broad Street', 'Level 7', None, 'UK', 'EC2N 1HN', 'EMEA'),\n", + " ('Barry', 'Jones', '7', 'London', '+44 20 7877 2041', '25 Old Broad Street', 'Level 7', None, 'UK', 'EC2N 1HN', 'EMEA')]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- List all employee names and their office address\n", + "\n", + "USE classicsales;\n", + "\n", + "SELECT first_name, last_name, office.* FROM employee NATURAL JOIN office;" ] }, { diff --git a/db-course/007-Aggregation.ipynb b/db-course/007-Aggregation.ipynb index 6ec2ccd..0fb40f2 100644 --- a/db-course/007-Aggregation.ipynb +++ b/db-course/007-Aggregation.ipynb @@ -39,9 +39,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sql extension is already loaded. To reload it, use:\n", + " %reload_ext sql\n" + ] + } + ], "source": [ "import pymysql\n", "pymysql.install_as_MySQLdb()\n", @@ -52,930 +61,1471 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2022-11-01 18:34:02,978][INFO]: Connecting dimitri@db.ust-data-sci.net:3306\n", - "[2022-11-01 18:34:03,305][INFO]: Connected dimitri@db.ust-data-sci.net:3306\n" - ] - }, { "data": { "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "%3\n", + "\n", + "\n", "\n", - "0\n", - "\n", - "0\n", - "\n", - "\n", - "\n", - "airport.Flight\n", - "\n", - "\n", - "airport.Flight\n", + "Account\n", + "\n", + "\n", + "Account\n", "\n", "\n", "\n", - "\n", - "\n", - "0->airport.Flight\n", - "\n", - "\n", - "\n", - "\n", - "1\n", - "\n", - "1\n", - "\n", - "\n", - "\n", - "1->airport.Flight\n", - "\n", - "\n", - "\n", + "\n", "\n", - "2\n", - "\n", - "2\n", - "\n", - "\n", - "\n", - "airport.Airline\n", - "\n", - "\n", - "airport.Airline\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", "\n", "\n", "\n", - "\n", - "\n", - "2->airport.Airline\n", - "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", "\n", - "\n", + "\n", "\n", - "3\n", - "\n", - "3\n", - "\n", - "\n", - "\n", - "airport.Flightschedule\n", - "\n", - "\n", - "airport.Flightschedule\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "3->airport.Flightschedule\n", - "\n", - "\n", - "\n", - "\n", - "4\n", - "\n", - "4\n", - "\n", - "\n", - "\n", - "4->airport.Flightschedule\n", - "\n", - "\n", - "\n", - "\n", - "airport.Booking\n", - "\n", - "\n", - "airport.Booking\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "airport.AirportReachable\n", - "\n", - "\n", - "airport.AirportReachable\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "airport.Airplane\n", - "\n", - "\n", - "airport.Airplane\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "airport.Airplane->airport.Flight\n", - "\n", - "\n", - "\n", - "\n", - 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"\n", - "\n", - "\n", - "\n", - "airport.Airport->airport.AirportReachable\n", - "\n", - "\n", - "\n", - "\n", - "airport.AirportGeo\n", - "\n", - "\n", - "airport.AirportGeo\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "airport.Airport->airport.AirportGeo\n", - "\n", - "\n", - "\n", - "\n", - "airport.Weatherdata\n", - "\n", - "\n", - "airport.Weatherdata\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "airport.Passenger\n", - "\n", - "\n", - "airport.Passenger\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "airport.Passenger->airport.Booking\n", - "\n", - "\n", - "\n", - "\n", - "airport.Passenger->airport.Passengerdetails\n", - "\n", - "\n", - "\n", - "\n", - "airport.Flight->airport.Booking\n", - "\n", - "\n", - "\n", - "\n", - "sales.ProductVendor\n", - "\n", - "\n", - "sales.ProductVendor\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Category\n", - "\n", - "\n", - "sales.Category\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Product\n", - "\n", - "\n", - "sales.Product\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Category->sales.Product\n", - "\n", - "\n", - "\n", - "\n", - "sales.Vendor\n", - "\n", - "\n", - "sales.Vendor\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Vendor->sales.ProductVendor\n", - "\n", - "\n", - "\n", - "\n", - "sales.Employee\n", - "\n", - "\n", - "sales.Employee\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Order\n", - "\n", - "\n", - "sales.Order\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", "\n", "\n", "\n", - "\n", - "\n", - "sales.Employee->sales.Order\n", - "\n", - "\n", - "\n", - "\n", - "sales.Product->sales.ProductVendor\n", - "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", "\n", - "\n", - "\n", - "sales.Order.Item\n", - "\n", - "\n", - "sales.Order.Item\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", "\n", "\n", "\n", - "\n", - "\n", - "sales.Product->sales.Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "sales.Order->sales.Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "sales.Customer\n", - "\n", - "\n", - "sales.Customer\n", - "\n", - "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", "\n", - "\n", - "\n", - "sales.Customer->sales.Order\n", - "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import datajoint as dj\n", - "sales = dj.create_virtual_module('sales', 'shared_sales')\n", - "airport = dj.create_virtual_module('airport', 'shared_airport')\n", - "dj.Diagram(sales) + dj.Diagram(airport)" + "schema = dj.Schema('app')\n", + "schema.spawn_missing_classes()\n", + "dj.Diagram(schema)" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n" + ] + }, { "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Customer\n", - "\n", - "\n", - "sales.Customer\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Order\n", - "\n", - "\n", - "sales.Order\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Customer->sales.Order\n", - "\n", - "\n", - "\n", - "\n", - "sales.Vendor\n", - "\n", - "\n", - "sales.Vendor\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.ProductVendor\n", - "\n", - "\n", - "sales.ProductVendor\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Vendor->sales.ProductVendor\n", - "\n", - "\n", - "\n", - "\n", - "sales.Order.Item\n", - "\n", - "\n", - "sales.Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Order->sales.Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "sales.Category\n", - "\n", - "\n", - "sales.Category\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Product\n", - "\n", - "\n", - "sales.Product\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Category->sales.Product\n", - "\n", - "\n", - "\n", - "\n", - "sales.Product->sales.ProductVendor\n", - "\n", - "\n", - "\n", - "\n", - "sales.Product->sales.Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "sales.Employee\n", - "\n", - "\n", - "sales.Employee\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "sales.Employee->sales.Order\n", - "\n", - "\n", - "\n", - "" - ], "text/plain": [ - "" + "[]" ] }, - "execution_count": 3, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dj.Diagram(sales)" + "%%sql\n", + "USE app" ] }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, + "execution_count": 18, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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\n", - "

product_number

\n", - " \n", - "
\n", - "

vendor_id

\n", - " \n", - "
\n", - "

wholesale_price

\n", - " \n", - "
\n", - "

days_to_deliver

\n", - " \n", - "
14804.006
19854.227
261269.009
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3957.276
4644.2210
4941.6214
575.3810
595.879
62403.223
69448.737
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Total: 90

\n", - " " + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phoneaddon_idcard_numberpurchase_date
1030448631616304770672212023-10-22
" ], "text/plain": [ - "*product_numbe *vendor_id wholesale_pric days_to_delive\n", - "+------------+ +-----------+ +------------+ +------------+\n", - "1 4 804.00 6 \n", - "1 9 854.22 7 \n", - "2 6 1269.00 9 \n", - "2 9 1477.81 7 \n", - "3 7 54.19 10 \n", - "3 9 57.27 6 \n", - "4 6 44.22 10 \n", - "4 9 41.62 14 \n", - "5 7 5.38 10 \n", - "5 9 5.87 9 \n", - "6 2 403.22 3 \n", - "6 9 448.73 7 \n", - " ...\n", - " (Total: 90)" + "[(10304486316, 1, 630477067221, datetime.date(2023, 10, 22))]" ] }, - "execution_count": 4, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sales.ProductVendor()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Increasing complexity of queries" + "%%sql\n", + "-- show the date of the last purchase \n", + "SELECT * FROM purchase ORDER BY purchase_date DESC LIMIT 1 " ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 19, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
last_purchasefirst_purchasephonecard_number
2023-10-222023-09-2410060545047371330613423047
" + ], + "text/plain": [ + "[(datetime.date(2023, 10, 22), datetime.date(2023, 9, 24), 10060545047, 371330613423047)]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "%%sql\n", - "\n", - "USE shared_sales" + "-- show the data of the last pruchase \n", + "SELECT max(purchase_date) last_purchase, min(purchase_date) first_purchase, phone, card_number FROM purchase" ] }, { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Aggregation functions MAX, MIN, AVG, SUM, COUNT" + "cell_type": "code", + "execution_count": 21, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_namedobsex
63099749199MartinSexton2023-10-17M
" + ], + "text/plain": [ + "[(63099749199, 'Martin', 'Sexton', datetime.date(2023, 10, 17), 'M')]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- show the date of birth of the youngest person\n", + "SELECT * FROM account ORDER BY dob DESC LIMIT 1" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dobphone
2023-10-1710013740006
" + ], + "text/plain": [ + "[(datetime.date(2023, 10, 17), 10013740006)]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- show the date of birth of the youngest person \n", + "-- This is an invalid query because it mixes aggregation and regular fields\n", + "SELECT max(dob) as dob, phone FROM account" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_namedobsex
10013740006GinaShaw1914-11-23F
" + ], + "text/plain": [ + "[(10013740006, 'Gina', 'Shaw', datetime.date(1914, 11, 23), 'F')]" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT * FROM account where phone=10013740006" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_namedobsex
63099749199MartinSexton2023-10-17M
" + ], + "text/plain": [ + "[(63099749199, 'Martin', 'Sexton', datetime.date(2023, 10, 17), 'M')]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- show the youngest person \n", + "SELECT * FROM account WHERE dob = (SELECT max(dob) FROM account)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "

avg_age

\n", + " calculated attribute\n", + "
57
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "avg_age \n", + "+---------+\n", + "57 \n", + " (Total: 1)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# show average male age\n", + "dj.U().aggr(Account & 'sex=\"M\"' , avg_age=\"floor(avg(DATEDIFF(now(), dob)) / 365.25)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
avg_age
57
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count(*)count(phone)count(DISTINCT first_name, last_name)count(dob)
1050110501974310001
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addon_idn
11633
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addon_idaddon_nameprice
1Track & Field13.99
2Marathon26.20
3Sprint100.00
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addon_idphonecard_numberpurchase_dateaddon_nameprice
1100605450473713306134230472023-10-06Track & Field13.99
1101798744803752128629186512023-10-10Track & Field13.99
11019463484646248430862690662023-10-02Track & Field13.99
11026677649035058127799195152023-09-29Track & Field13.99
11026974365625421082601849002023-10-14Track & Field13.99
1102912586792131553203909952023-10-12Track & Field13.99
1103044863166304770672212023-10-22Track & Field13.99
1103055553432131582677838672023-10-14Track & Field13.99
11036961796622299641244472342023-10-05Track & Field13.99
1104157480582131489609763632023-10-11Track & Field13.99
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phonetotal_spending
17339432875140.19
12417448955140.19
16515577510140.19
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26558060536140.19
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" + ], + "text/plain": [ + "[(17339432875, Decimal('140.19')),\n", + " (12417448955, Decimal('140.19')),\n", + " (16515577510, Decimal('140.19')),\n", + " (12437069343, Decimal('140.19')),\n", + " (26558060536, Decimal('140.19')),\n", + " (11182160746, Decimal('140.19')),\n", + " (22836957772, Decimal('140.19')),\n", + " (20876162630, Decimal('140.19')),\n", + " (28238508010, Decimal('140.19')),\n", + " (21548612635, Decimal('140.19'))]" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- show the total money spent by each account (limit to top 10)\n", + "\n", + "SELECT phone, sum(price) as total_spending \n", + " FROM purchase NATURAL JOIN `#add_on` \n", + " GROUP BY (phone) \n", + " ORDER BY total_spending DESC LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "(pymysql.err.OperationalError) (1054, \"Unknown column 'total_spending' in 'where clause'\")\n", + "[SQL: -- show the names of people who spent less than 100\n", + "\n", + "SELECT phone, sum(price) as total_spending \n", + " FROM purchase NATURAL JOIN `#add_on` \n", + " WHERE total_spending < 100\n", + " GROUP BY (phone) \n", + " LIMIT 10]\n", + "(Background on this error at: https://sqlalche.me/e/20/e3q8)\n" + ] + } + ], + "source": [ + "%%sql\n", + "-- show the names of people who spent less than $100\n", + "\n", + "SELECT phone, sum(price) as total_spending \n", + " FROM purchase NATURAL JOIN `#add_on` \n", + " WHERE total_spending < 100\n", + " GROUP BY (phone) \n", + " LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_nametotal_spending
10179874480TheresaVargas13.99
10194634846JosephKrueger13.99
10266776490PatrickWaller40.19
10269743656JacobMartin13.99
10291258679MatthewKelley13.99
10304486316KarenGibson13.99
10305555343KaylaHernandez13.99
10415748058MarkIngram40.19
10425906940JimmyTurner13.99
10551831628JocelynOchoa13.99
" + ], + "text/plain": [ + "[(10179874480, 'Theresa', 'Vargas', Decimal('13.99')),\n", + " (10194634846, 'Joseph', 'Krueger', Decimal('13.99')),\n", + " (10266776490, 'Patrick', 'Waller', Decimal('40.19')),\n", + " (10269743656, 'Jacob', 'Martin', Decimal('13.99')),\n", + " (10291258679, 'Matthew', 'Kelley', Decimal('13.99')),\n", + " (10304486316, 'Karen', 'Gibson', Decimal('13.99')),\n", + " (10305555343, 'Kayla', 'Hernandez', Decimal('13.99')),\n", + " (10415748058, 'Mark', 'Ingram', Decimal('40.19')),\n", + " (10425906940, 'Jimmy', 'Turner', Decimal('13.99')),\n", + " (10551831628, 'Jocelyn', 'Ochoa', Decimal('13.99'))]" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- show the names of people who spent less than $100\n", + "\n", + "SELECT * FROM (\n", + " SELECT phone, first_name, last_name, sum(price) as total_spending \n", + " FROM account NATURAL JOIN purchase NATURAL JOIN `#add_on` \n", + " GROUP BY (phone)) as q \n", + "WHERE total_spending < 100\n", + "LIMIT 10\n", + "\n", + "-- almost correct but does not include people who spent nothing" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
addon_idphonefirst_namelast_namedobsexcard_numberpurchase_dateaddon_nameprice
None10013740006GinaShaw1914-11-23FNoneNoneNoneNone
None10016834227ElizabethWeeks1936-09-04FNoneNoneNoneNone
None10019159850JoshuaMcdowell2007-12-14MNoneNoneNoneNone
None10027902431RobertBailey2002-10-16MNoneNoneNoneNone
None10052023046PeterEnglish2023-09-22MNoneNoneNoneNone
110060545047LatoyaCohen1917-01-02F3713306134230472023-10-06Track & Field13.99
310060545047LatoyaCohen1917-01-02F3713306134230472023-09-28Sprint100.00
None10074130737GinaWalters2023-09-24FNoneNoneNoneNone
None10079483739GinaCompton1934-08-10FNoneNoneNoneNone
210089699053TerriReid1987-05-22F47188424801162023-10-15Marathon26.20
" + ], + "text/plain": [ + "[(None, 10013740006, 'Gina', 'Shaw', datetime.date(1914, 11, 23), 'F', None, None, None, None),\n", + " (None, 10016834227, 'Elizabeth', 'Weeks', datetime.date(1936, 9, 4), 'F', None, None, None, None),\n", + " (None, 10019159850, 'Joshua', 'Mcdowell', datetime.date(2007, 12, 14), 'M', None, None, None, None),\n", + " (None, 10027902431, 'Robert', 'Bailey', datetime.date(2002, 10, 16), 'M', None, None, None, None),\n", + " (None, 10052023046, 'Peter', 'English', datetime.date(2023, 9, 22), 'M', None, None, None, None),\n", + " (1, 10060545047, 'Latoya', 'Cohen', datetime.date(1917, 1, 2), 'F', 371330613423047, datetime.date(2023, 10, 6), 'Track & Field', Decimal('13.99')),\n", + " (3, 10060545047, 'Latoya', 'Cohen', datetime.date(1917, 1, 2), 'F', 371330613423047, datetime.date(2023, 9, 28), 'Sprint', Decimal('100.00')),\n", + " (None, 10074130737, 'Gina', 'Walters', datetime.date(2023, 9, 24), 'F', None, None, None, None),\n", + " (None, 10079483739, 'Gina', 'Compton', datetime.date(1934, 8, 10), 'F', None, None, None, None),\n", + " (2, 10089699053, 'Terri', 'Reid', datetime.date(1987, 5, 22), 'F', 4718842480116, datetime.date(2023, 10, 15), 'Marathon', Decimal('26.20'))]" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql \n", + "-- explaining LEFT joins\n", + "SELECT * FROM account NATURAL LEFT JOIN purchase NATURAL LEFT JOIN `#add_on` LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
phonefirst_namelast_nametotal_spending
10013740006GinaShaw0.00
10016834227ElizabethWeeks0.00
10019159850JoshuaMcdowell0.00
10027902431RobertBailey0.00
10052023046PeterEnglish0.00
10074130737GinaWalters0.00
10079483739GinaCompton0.00
10089699053TerriReid26.20
10092272331LindaGross0.00
10110229863BrandonJones0.00
" + ], + "text/plain": [ + "[(10013740006, 'Gina', 'Shaw', Decimal('0.00')),\n", + " (10016834227, 'Elizabeth', 'Weeks', Decimal('0.00')),\n", + " (10019159850, 'Joshua', 'Mcdowell', Decimal('0.00')),\n", + " (10027902431, 'Robert', 'Bailey', Decimal('0.00')),\n", + " (10052023046, 'Peter', 'English', Decimal('0.00')),\n", + " (10074130737, 'Gina', 'Walters', Decimal('0.00')),\n", + " (10079483739, 'Gina', 'Compton', Decimal('0.00')),\n", + " (10089699053, 'Terri', 'Reid', Decimal('26.20')),\n", + " (10092272331, 'Linda', 'Gross', Decimal('0.00')),\n", + " (10110229863, 'Brandon', 'Jones', Decimal('0.00'))]" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- show the names of people who spent less than $100\n", + "SELECT * FROM (\n", + " SELECT phone, first_name, last_name, ifnull(sum(price), 0) as total_spending \n", + " FROM account NATURAL LEFT JOIN purchase NATURAL LEFT JOIN `#add_on` \n", + " GROUP BY (phone)) as q \n", + "WHERE total_spending < 100\n", + "LIMIT 10\n" ] }, { From 3f7e7a7cb71edcfd4a709ce82d07e58962204559 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 25 Oct 2023 04:06:56 +0000 Subject: [PATCH 25/33] complete Homework 6 --- db-course/004-DatabaseSales.ipynb | 7 +- db-course/004-DatabaseUniversity.ipynb | 5664 ++++++++++++++++++++++-- db-course/006-Joins-HW.ipynb | 1059 +---- db-course/007-Aggregation.ipynb | 1296 +----- 4 files changed, 5504 insertions(+), 2522 deletions(-) diff --git a/db-course/004-DatabaseSales.ipynb b/db-course/004-DatabaseSales.ipynb index 24eefd6..ec33049 100644 --- a/db-course/004-DatabaseSales.ipynb +++ b/db-course/004-DatabaseSales.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -24,7 +24,7 @@ "output_type": "stream", "text": [ " * mysql://root:***@127.0.0.1\n", - "9 rows affected.\n", + "3 rows affected.\n", "1 rows affected.\n", "0 rows affected.\n", "0 rows affected.\n", @@ -53,7 +53,7 @@ "[]" ] }, - "execution_count": 2, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -125,6 +125,7 @@ " `employee_number` int(11) NOT NULL,\n", " `reports_to` int(11) NOT NULL,\n", " PRIMARY KEY (`employee_number`),\n", + " FOREIGN KEY (`employee_number`) REFERENCES `employee` (`employee_number`),\n", " FOREIGN KEY (`reports_to`) REFERENCES `employee` (`employee_number`)\n", ");\n", "\n", diff --git a/db-course/004-DatabaseUniversity.ipynb b/db-course/004-DatabaseUniversity.ipynb index fb70172..f03d662 100644 --- a/db-course/004-DatabaseUniversity.ipynb +++ b/db-course/004-DatabaseUniversity.ipynb @@ -9,22 +9,13 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 15, "metadata": { "slideshow": { "slide_type": "subslide" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-24 23:02:05,445][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-24 23:02:05,453][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], + "outputs": [], "source": [ "import datajoint as dj\n", "schema = dj.schema('university')" @@ -32,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -72,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -88,143 +79,61 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "`university`.`course`\n", - "\n", - "`university`.`course`\n", - "\n", - "\n", - "\n", - "`university`.`section`\n", - "\n", - "`university`.`section`\n", - "\n", - "\n", - "\n", - "`university`.`course`->`university`.`section`\n", - "\n", - "\n", - "\n", - "\n", - "`university`.`current_term`\n", - "\n", - "`university`.`current_term`\n", - "\n", - "\n", - "\n", - "`university`.`enroll`\n", - "\n", - "`university`.`enroll`\n", - "\n", - "\n", - "\n", - "`university`.`grade`\n", - "\n", - "`university`.`grade`\n", - "\n", - "\n", - "\n", - "`university`.`enroll`->`university`.`grade`\n", - "\n", - "\n", - "\n", - "\n", - "`university`.`letter_grade`\n", - "\n", - "`university`.`letter_grade`\n", - "\n", - "\n", - "\n", - "`university`.`letter_grade`->`university`.`grade`\n", - "\n", - "\n", - "\n", - "\n", - "`university`.`section`->`university`.`enroll`\n", - "\n", - "\n", - "\n", - "\n", - "`university`.`term`\n", - "\n", - "`university`.`term`\n", - "\n", - "\n", - "\n", - "`university`.`term`->`university`.`current_term`\n", - "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", "\n", - "\n", - "\n", - "`university`.`term`->`university`.`section`\n", - "\n", "\n", "\n", - "\n", + "\n", "StudentMajor\n", - "\n", - "\n", - "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", "\n", "\n", "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", "\n", - "\n", + "\n", "Student\n", - "\n", - "\n", - "Student\n", + "\n", + "\n", + "Student\n", "\n", "\n", "\n", - "\n", - "\n", - "Student->`university`.`enroll`\n", - "\n", - "\n", "\n", - "\n", + "\n", "Student->StudentMajor\n", - "\n", - "\n", - "\n", - "\n", - "Department\n", - "\n", - "\n", - "Department\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Department->`university`.`course`\n", - "\n", - "\n", - "\n", - "\n", - "Department->StudentMajor\n", - "\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 5, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -235,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 20, "metadata": { "slideshow": { "slide_type": "slide" @@ -302,7 +211,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -456,10 +365,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -470,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -484,7 +393,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -515,22 +424,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 24, "metadata": {}, - "outputs": [ - { - "ename": "DuplicateError", - "evalue": "(\"Duplicate entry '100' for key 'student.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mDuplicateError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m Student\u001b[39m.\u001b[39;49minsert(\n\u001b[1;32m 2\u001b[0m \u001b[39mdict\u001b[39;49m(k, student_id\u001b[39m=\u001b[39;49mi) \u001b[39mfor\u001b[39;49;00m i, k \u001b[39min\u001b[39;49;00m \u001b[39mzip\u001b[39;49m(\u001b[39mrange\u001b[39;49m(\u001b[39m100\u001b[39;49m,\u001b[39m300\u001b[39;49m), yield_students()))\n", - "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/datajoint/table.py:453\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 450\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 451\u001b[0m )\n\u001b[1;32m 452\u001b[0m \u001b[39mexcept\u001b[39;00m DuplicateError \u001b[39mas\u001b[39;00m err:\n\u001b[0;32m--> 453\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 454\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore duplicate entries in insert, set skip_duplicates=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 455\u001b[0m )\n", - "\u001b[0;31mDuplicateError\u001b[0m: (\"Duplicate entry '100' for key 'student.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')" - ] - } - ], + "outputs": [], "source": [ "Student.insert(\n", " dict(k, student_id=i) for i, k in zip(range(100,300), yield_students()))" @@ -538,7 +434,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -631,114 +527,114 @@ " e.g. 414.657.6883x0881\n", " \n", " 100\n", - "David\n", - "Warren\n", - "M\n", - "2007-05-28\n", - "328 Trevino Club\n", - "South Brittany\n", - "AR\n", - "85766\n", - "9867288695101\n", - "Donald\n", - "Davis\n", + "Joseph\n", + "Zhang\n", "M\n", - "2005-05-11\n", - "5507 Kevin Road Apt. 158\n", - "Jenniferhaven\n", - "PW\n", - "28061\n", - "384.891.3097x907102\n", - "Logan\n", - "Carter\n", - "M\n", - "1991-06-06\n", - "80648 Phillips Manors Apt. 363\n", - "Carsonmouth\n", - "TN\n", - "89169\n", - "(931)654-8377103\n", - "Andrea\n", + "2001-01-02\n", + "279 Rosales Cliff\n", + "Port Stephenborough\n", + "ND\n", + "12880\n", + "281-421-2992101\n", + "Chad\n", + "Gillespie\n", + "M\n", + "1998-05-10\n", + "0221 Scott Mission\n", + "West Jay\n", + "SD\n", + "23663\n", + "367.812.6252x85610102\n", + "Laura\n", + "Peterson\n", + "F\n", + "1995-09-08\n", + "8186 Martin Square Apt. 094\n", + "Gordonport\n", + "MH\n", + "27930\n", + "+1-717-434-6599x2291103\n", + "Xavier\n", "Jones\n", + "M\n", + "2002-02-26\n", + "4352 Elijah Corner Suite 641\n", + "Richardshire\n", + "CO\n", + "14968\n", + "(553)733-9105x51636104\n", + "Kimberly\n", + "Hansen\n", "F\n", - "1990-04-10\n", - "0728 Amy Plain\n", - "Millertown\n", - "ND\n", - "67142\n", - "+1-891-317-9091104\n", - "Angela\n", - "Stevens\n", - "F\n", - "1990-02-19\n", - "67714 Hicks Courts Suite 791\n", - "Heidistad\n", + "2007-12-17\n", + "8503 Paul Port\n", + "Hugheschester\n", + "KS\n", + "84271\n", + "001-971-761-9372x069105\n", + "Joanna\n", + "Rojas\n", + "F\n", + "1994-01-14\n", + "4886 Hardy Coves Apt. 297\n", + "Chloeview\n", + "WV\n", + "34746\n", + "(557)800-7496106\n", + "Sarah\n", + "Greer\n", + "F\n", + "2006-01-25\n", + "57306 Brown Lights\n", + "Amandashire\n", + "HI\n", + "03643\n", + "367-226-8446x84376107\n", + "Shane\n", + "Raymond\n", + "M\n", + "1989-08-23\n", + "825 Stephen Dale\n", + "Richfort\n", + "ME\n", + "58044\n", + "(512)521-8342x97955108\n", + "Katie\n", + "Massey\n", + "F\n", + "2006-06-09\n", + "2209 Hancock Street Apt. 348\n", + "West Jefferyburgh\n", + "PW\n", + "33369\n", + "(252)763-8620x0811109\n", + "Jasmine\n", + "Crawford\n", + "F\n", + "1994-10-18\n", + "45512 West Rapid Apt. 164\n", + "North Patrick\n", + "MI\n", + "43070\n", + "(809)348-5386x416110\n", + "Kevin\n", + "Peterson\n", + "M\n", + "2005-01-29\n", + "20568 King Inlet Suite 635\n", + "South Steven\n", "IN\n", - "57838\n", - "721.306.0389x29709105\n", - "Brittney\n", - "Meyer\n", - "F\n", - "1997-04-01\n", - "2533 Colon Vista Suite 094\n", - "East Gregoryton\n", - "IA\n", - "47281\n", - "512.492.0549106\n", - "Scott\n", - "Ross\n", - "M\n", - "1990-06-29\n", - "1360 Vanessa Ports Apt. 444\n", - "East Andrewberg\n", - "CA\n", - "49351\n", - "001-938-490-4120107\n", - "Ricardo\n", - "Flores\n", - "M\n", - "1996-08-03\n", - "1895 Dawn Dam\n", - "Timothyville\n", - "CA\n", - "71637\n", - "(601)212-1426x18191108\n", - "Ryan\n", - "Roberson\n", - "M\n", - "1996-07-04\n", - "16777 Reynolds Brooks\n", - "South Josephbury\n", - "AS\n", - "90614\n", - "498.835.4430x65848109\n", - "Timothy\n", - "Anderson\n", - "M\n", - "1993-08-04\n", - "5427 Roy Meadow\n", - "Port Heatherberg\n", - "GU\n", - "69501\n", - "548.737.6679x066110\n", - "Caitlin\n", - "Ortiz\n", - "F\n", - "1989-06-25\n", - "3264 Mark Stravenue Apt. 136\n", - "West Morgan\n", - "WY\n", - "59797\n", - "(578)793-4109x339111\n", - "Susan\n", - "Cooper\n", - "F\n", - "2007-06-22\n", - "6939 Savannah Forges Suite 253\n", - "West Meganburgh\n", + "15195\n", + "818.327.9787111\n", + "Kelly\n", + "Hoffman\n", + "F\n", + "1991-12-16\n", + "587 Brooks Plaza Suite 371\n", + "Russellborough\n", "WV\n", - "11501\n", - "+1-369-687-3678x193 \n", + "41026\n", + "293.925.2691x864 \n", " \n", "

...

\n", "

Total: 200

\n", @@ -747,23 +643,23 @@ "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 David Warren M 2007-05-28 328 Trevino Cl South Brittany AR 85766 9867288695 \n", - "101 Donald Davis M 2005-05-11 5507 Kevin Roa Jenniferhaven PW 28061 384.891.3097x9\n", - "102 Logan Carter M 1991-06-06 80648 Phillips Carsonmouth TN 89169 (931)654-8377 \n", - "103 Andrea Jones F 1990-04-10 0728 Amy Plain Millertown ND 67142 +1-891-317-909\n", - "104 Angela Stevens F 1990-02-19 67714 Hicks Co Heidistad IN 57838 721.306.0389x2\n", - "105 Brittney Meyer F 1997-04-01 2533 Colon Vis East Gregoryto IA 47281 512.492.0549 \n", - "106 Scott Ross M 1990-06-29 1360 Vanessa P East Andrewber CA 49351 001-938-490-41\n", - "107 Ricardo Flores M 1996-08-03 1895 Dawn Dam Timothyville CA 71637 (601)212-1426x\n", - "108 Ryan Roberson M 1996-07-04 16777 Reynolds South Josephbu AS 90614 498.835.4430x6\n", - "109 Timothy Anderson M 1993-08-04 5427 Roy Meado Port Heatherbe GU 69501 548.737.6679x0\n", - "110 Caitlin Ortiz F 1989-06-25 3264 Mark Stra West Morgan WY 59797 (578)793-4109x\n", - "111 Susan Cooper F 2007-06-22 6939 Savannah West Meganburg WV 11501 +1-369-687-367\n", + "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", + "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", + "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", + "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", + "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", + "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", + "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", + "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", + "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", + "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", + "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", + "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", " ...\n", " (Total: 200)" ] }, - "execution_count": 11, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -774,22 +670,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 26, "metadata": {}, - "outputs": [ - { - "ename": "DuplicateError", - "evalue": "(\"Duplicate entry 'CS' for key 'department.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mDuplicateError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m Department\u001b[39m.\u001b[39;49minsert(\n\u001b[1;32m 2\u001b[0m \u001b[39mdict\u001b[39;49m(dept\u001b[39m=\u001b[39;49mdept, \n\u001b[1;32m 3\u001b[0m dept_name\u001b[39m=\u001b[39;49mname, \n\u001b[1;32m 4\u001b[0m dept_address\u001b[39m=\u001b[39;49mfake\u001b[39m.\u001b[39;49maddress(), \n\u001b[1;32m 5\u001b[0m dept_phone\u001b[39m=\u001b[39;49mfake\u001b[39m.\u001b[39;49mphone_number()[:\u001b[39m20\u001b[39;49m])\n\u001b[1;32m 6\u001b[0m \u001b[39mfor\u001b[39;49;00m dept, name \u001b[39min\u001b[39;49;00m [\n\u001b[1;32m 7\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mCS\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mComputer Science\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 8\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mBIOL\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mLife Sciences\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 9\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mPHYS\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mPhysics\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 10\u001b[0m [\u001b[39m\"\u001b[39;49m\u001b[39mMATH\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mMathematics\u001b[39;49m\u001b[39m\"\u001b[39;49m]])\n", - "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/datajoint/table.py:453\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 450\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 451\u001b[0m )\n\u001b[1;32m 452\u001b[0m \u001b[39mexcept\u001b[39;00m DuplicateError \u001b[39mas\u001b[39;00m err:\n\u001b[0;32m--> 453\u001b[0m \u001b[39mraise\u001b[39;00m err\u001b[39m.\u001b[39msuggest(\n\u001b[1;32m 454\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mTo ignore duplicate entries in insert, set skip_duplicates=True\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 455\u001b[0m )\n", - "\u001b[0;31mDuplicateError\u001b[0m: (\"Duplicate entry 'CS' for key 'department.PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')" - ] - } - ], + "outputs": [], "source": [ "Department.insert(\n", " dict(dept=dept, \n", @@ -805,7 +688,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -817,7 +700,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -888,56 +771,56 @@ "

declare_date

\n", " when student declared her major\n", " \n", - " 100\n", - "MATH\n", - "2018-07-22101\n", + " 101\n", "MATH\n", - "2003-10-23102\n", + "1999-05-14102\n", + "PHYS\n", + "2006-05-23105\n", + "PHYS\n", + "2011-02-25106\n", "MATH\n", - "2003-01-04103\n", + "2023-03-11108\n", "MATH\n", - "2013-07-02104\n", + "2009-11-15109\n", + "CS\n", + "2002-12-18110\n", "BIOL\n", - "2005-11-22105\n", - "MATH\n", - "2022-05-08107\n", - "MATH\n", - "2019-05-03108\n", + "2002-02-28111\n", + "BIOL\n", + "2017-08-24112\n", "PHYS\n", - "2016-11-14109\n", - "MATH\n", - "2012-12-18111\n", + "2001-12-25113\n", + "BIOL\n", + "2014-09-03114\n", "CS\n", - "2012-06-21112\n", + "2021-03-11115\n", "PHYS\n", - "2005-10-25114\n", - "MATH\n", - "2018-09-17 \n", + "2020-10-19 \n", " \n", "

...

\n", - "

Total: 149

\n", + "

Total: 154

\n", " " ], "text/plain": [ "*student_id dept declare_date \n", "+------------+ +------+ +------------+\n", - "100 MATH 2018-07-22 \n", - "101 MATH 2003-10-23 \n", - "102 MATH 2003-01-04 \n", - "103 MATH 2013-07-02 \n", - "104 BIOL 2005-11-22 \n", - "105 MATH 2022-05-08 \n", - "107 MATH 2019-05-03 \n", - "108 PHYS 2016-11-14 \n", - "109 MATH 2012-12-18 \n", - "111 CS 2012-06-21 \n", - "112 PHYS 2005-10-25 \n", - "114 MATH 2018-09-17 \n", + "101 MATH 1999-05-14 \n", + "102 PHYS 2006-05-23 \n", + "105 PHYS 2011-02-25 \n", + "106 MATH 2023-03-11 \n", + "108 MATH 2009-11-15 \n", + "109 CS 2002-12-18 \n", + "110 BIOL 2002-02-28 \n", + "111 BIOL 2017-08-24 \n", + "112 PHYS 2001-12-25 \n", + "113 BIOL 2014-09-03 \n", + "114 CS 2021-03-11 \n", + "115 PHYS 2020-10-19 \n", " ...\n", - " (Total: 149)" + " (Total: 154)" ] }, - "execution_count": 14, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -948,7 +831,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1008,7 +891,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -1035,7 +918,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -1055,18 +938,130 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

grade

\n", + " \n", + "
\n", + "

points

\n", + " \n", + "
A4.00
A-3.67
B3.00
B-2.67
B+3.33
C2.00
C-1.67
C+2.33
D1.00
D+1.33
F0.00
\n", + " \n", + "

Total: 11

\n", + " " + ], + "text/plain": [ + "*grade points \n", + "+-------+ +--------+\n", + "A 4.00 \n", + "A- 3.67 \n", + "B 3.00 \n", + "B- 2.67 \n", + "B+ 3.33 \n", + "C 2.00 \n", + "C- 1.67 \n", + "C+ 2.33 \n", + "D 1.00 \n", + "D+ 1.33 \n", + "F 0.00 \n", + " (Total: 11)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "LetterGrade()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 200/200 [00:34<00:00, 5.85it/s]\n" + ] + } + ], "source": [ "# Enrollment \n", "terms = Term().fetch('KEY')\n", @@ -1085,7 +1080,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -1100,15 +1095,6 @@ " for key, grade in zip(grade_keys, random.choices(grades, k=len(grade_keys))))" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Enroll()" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1125,67 +1111,939 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Students from Texas\n", - "Student & {'home_state': 'TX'}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Student & 'home_state=\"TX\"'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Male students from outside Texas\n", - "(Student & 'sex=\"M\"') - {'home_state': 'TX'}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Students from TX, OK, or NM\n", - "Student & [{'home_state':'OK'}, {'home_state':'NM'}, {'home_state':'TX'}] " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Millenials\n", - "millennials = Student & 'date_of_birth between \"1981-01-01\" and \"1996-12-31\"'" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, - "outputs": [], - "source": [ - "millennials" - ] - }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
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first_name

\n", + " \n", + "
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last_name

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sex

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date_of_birth

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\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
134NicholasClarkM2005-10-0188009 Deanna Station Suite 834West DavidshireTX41171+1-402-506-4715
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "134 Nicholas Clark M 2005-10-01 88009 Deanna S West Davidshir TX 41171 +1-402-506-471\n", + " (Total: 1)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Students from Texas\n", + "Student & {'home_state': 'TX'}" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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date_of_birth

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home_address

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home_city

\n", + " mailing address\n", + "
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home_state

\n", + " US state acronym: e.g. OH\n", + "
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home_zip

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home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
134NicholasClarkM2005-10-0188009 Deanna Station Suite 834West DavidshireTX41171+1-402-506-4715
\n", + " \n", + "

Total: 1

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "134 Nicholas Clark M 2005-10-01 88009 Deanna S West Davidshir TX 41171 +1-402-506-471\n", + " (Total: 1)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Student & 'home_state=\"TX\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
100JosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992
101ChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610
103XavierJonesM2002-02-264352 Elijah Corner Suite 641RichardshireCO14968(553)733-9105x51636
107ShaneRaymondM1989-08-23825 Stephen DaleRichfortME58044(512)521-8342x97955
110KevinPetersonM2005-01-2920568 King Inlet Suite 635South StevenIN15195818.327.9787
114JeremyBentonM1990-10-2525556 Robertson FlatsNorth JohnAK44145(690)759-5744x16317
119ChaseJohnsonM2005-09-03202 Burgess CrossingNorth JustinOK96035+1-620-999-6880x3575
123WilliamRodgersM2000-04-1290264 Madeline JunctionDeckertonWV19442321.336.4131
125DerrickStoneM2004-11-26111 Brian RadialHernandezhavenMS54548(545)591-8164x804
127Mr.MichaelM2000-09-085247 Lindsey Inlet Suite 685AyalashireOH55972001-730-783-9938x244
128LeeSmithM2007-07-17979 Stephens LightsRitashireRI64958(499)729-4623x98736
130AndrewSmithM2000-02-1192107 Molly Centers Apt. 489East ColleenNH23041632.937.6442x3243
\n", + "

...

\n", + "

Total: 93

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", + "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", + "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", + "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", + "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", + "114 Jeremy Benton M 1990-10-25 25556 Robertso North John AK 44145 (690)759-5744x\n", + "119 Chase Johnson M 2005-09-03 202 Burgess Cr North Justin OK 96035 +1-620-999-688\n", + "123 William Rodgers M 2000-04-12 90264 Madeline Deckerton WV 19442 321.336.4131 \n", + "125 Derrick Stone M 2004-11-26 111 Brian Radi Hernandezhaven MS 54548 (545)591-8164x\n", + "127 Mr. Michael M 2000-09-08 5247 Lindsey I Ayalashire OH 55972 001-730-783-99\n", + "128 Lee Smith M 2007-07-17 979 Stephens L Ritashire RI 64958 (499)729-4623x\n", + "130 Andrew Smith M 2000-02-11 92107 Molly Ce East Colleen NH 23041 632.937.6442x3\n", + " ...\n", + " (Total: 93)" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Male students from outside Texas\n", + "(Student & 'sex=\"M\"') - {'home_state': 'TX'}" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
115PhyllisMoralesF2001-03-080179 Krystal Camp Apt. 810TylerfurtOK13833497-544-8639x753
117VeronicaMurphyF1999-10-166152 David HarborsDiazhavenOK72047(930)510-0172x216
119ChaseJohnsonM2005-09-03202 Burgess CrossingNorth JustinOK96035+1-620-999-6880x3575
126MichelleMcdonaldF2003-07-225251 Nguyen RapidNicoleburghOK33776743.614.0026
134NicholasClarkM2005-10-0188009 Deanna Station Suite 834West DavidshireTX41171+1-402-506-4715
186StevenNelsonM1996-09-2999590 Harris Village Suite 580North VictorboroughOK70973726-258-3012
264AlisonLambertF2007-12-3135399 Wilson Manors Suite 149North WilliamsideOK11190+1-914-282-1821x171
283AndreaMaddoxF2001-08-093715 Smith CourseDonnasideNM03379(404)935-2847x7302
\n", + " \n", + "

Total: 8

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "115 Phyllis Morales F 2001-03-08 0179 Krystal C Tylerfurt OK 13833 497-544-8639x7\n", + "117 Veronica Murphy F 1999-10-16 6152 David Har Diazhaven OK 72047 (930)510-0172x\n", + "119 Chase Johnson M 2005-09-03 202 Burgess Cr North Justin OK 96035 +1-620-999-688\n", + "126 Michelle Mcdonald F 2003-07-22 5251 Nguyen Ra Nicoleburgh OK 33776 743.614.0026 \n", + "134 Nicholas Clark M 2005-10-01 88009 Deanna S West Davidshir TX 41171 +1-402-506-471\n", + "186 Steven Nelson M 1996-09-29 99590 Harris V North Victorbo OK 70973 726-258-3012 \n", + "264 Alison Lambert F 2007-12-31 35399 Wilson M North Williams OK 11190 +1-914-282-182\n", + "283 Andrea Maddox F 2001-08-09 3715 Smith Cou Donnaside NM 03379 (404)935-2847x\n", + " (Total: 8)" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Students from TX, OK, or NM\n", + "Student & [{'home_state':'OK'}, {'home_state':'NM'}, {'home_state':'TX'}] " + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "# Millenials\n", + "millennials = Student & 'date_of_birth between \"1981-01-01\" and \"1996-12-31\"'" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], + "source": [ + "millennials" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
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date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
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home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
100JosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992
101ChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610
102LauraPetersonF1995-09-088186 Martin Square Apt. 094GordonportMH27930+1-717-434-6599x2291
105JoannaRojasF1994-01-144886 Hardy Coves Apt. 297ChloeviewWV34746(557)800-7496
106SarahGreerF2006-01-2557306 Brown LightsAmandashireHI03643367-226-8446x84376
107ShaneRaymondM1989-08-23825 Stephen DaleRichfortME58044(512)521-8342x97955
109JasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416
111KellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864
112AliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659
113KatieDavisF1999-12-15843 Thomas Lane Suite 599MatthewtonIN62019001-506-288-6610
114JeremyBentonM1990-10-2525556 Robertson FlatsNorth JohnAK44145(690)759-5744x16317
115PhyllisMoralesF2001-03-080179 Krystal Camp Apt. 810TylerfurtOK13833497-544-8639x753
\n", + "

...

\n", + "

Total: 173

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", + "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", + "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", + "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", + "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", + "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", + "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", + "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", + "112 Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6\n", + "113 Katie Davis F 1999-12-15 843 Thomas Lan Matthewton IN 62019 001-506-288-66\n", + "114 Jeremy Benton M 1990-10-25 25556 Robertso North John AK 44145 (690)759-5744x\n", + "115 Phyllis Morales F 2001-03-08 0179 Krystal C Tylerfurt OK 13833 497-544-8639x7\n", + " ...\n", + " (Total: 173)" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Students who have taken classes\n", "Student & Enroll" @@ -1193,9 +2051,155 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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143TonySimpsonM1991-09-100901 Angela ParksSouth AngelahavenMD06465+1-822-459-3634x513
176JessicaHunterF1995-08-196459 Walker Fall Apt. 683SusanstadNC58056945.328.8843x523
244ChristopherEvansM1989-09-29680 Dominique Circle Apt. 075Lake AnthonyMD81162001-577-610-6402
294TracyJacksonF1990-12-076490 Schultz Crossroad Apt. 222DickersonmouthVI02009001-788-751-5451
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Total: 4

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "143 Tony Simpson M 1991-09-10 0901 Angela Pa South Angelaha MD 06465 +1-822-459-363\n", + "176 Jessica Hunter F 1995-08-19 6459 Walker Fa Susanstad NC 58056 945.328.8843x5\n", + "244 Christopher Evans M 1989-09-29 680 Dominique Lake Anthony MD 81162 001-577-610-64\n", + "294 Tracy Jackson F 1990-12-07 6490 Schultz C Dickersonmouth VI 02009 001-788-751-54\n", + " (Total: 4)" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Millenials who have never enrolled\n", "millennials - Enroll" @@ -1203,9 +2207,236 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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103XavierJonesM2002-02-264352 Elijah Corner Suite 641RichardshireCO14968(553)733-9105x51636
104KimberlyHansenF2007-12-178503 Paul PortHugheschesterKS84271001-971-761-9372x069
108KatieMasseyF2006-06-092209 Hancock Street Apt. 348West JefferyburghPW33369(252)763-8620x0811
110KevinPetersonM2005-01-2920568 King Inlet Suite 635South StevenIN15195818.327.9787
143TonySimpsonM1991-09-100901 Angela ParksSouth AngelahavenMD06465+1-822-459-3634x513
156AnthonyGordonM2008-07-081328 Herring Shoal Suite 523StricklandboroughPA74301001-672-628-0271x956
157KimberlyJordanF1997-05-13340 Turner Roads Apt. 851ColemansideDE37391(970)772-7907
163KristiWilsonF2007-08-26724 Clark Harbor Suite 584New LisaMT22201+1-880-597-3483x2464
167AmyWatsonF2006-03-05916 Dickson Orchard Apt. 446LaurensideNJ18957(926)650-8280x785
176JessicaHunterF1995-08-196459 Walker Fall Apt. 683SusanstadNC58056945.328.8843x523
179StephenBakerM2008-08-12318 Burke Gateway Apt. 889Port AlexandriatownMP15131+1-363-811-9980
185ConnorParkerM2006-01-01493 Carroll WallNew BrentWY19949(920)303-3647x344
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...

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Total: 27

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", + "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", + "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", + "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", + "143 Tony Simpson M 1991-09-10 0901 Angela Pa South Angelaha MD 06465 +1-822-459-363\n", + "156 Anthony Gordon M 2008-07-08 1328 Herring S Stricklandboro PA 74301 001-672-628-02\n", + "157 Kimberly Jordan F 1997-05-13 340 Turner Roa Colemanside DE 37391 (970)772-7907 \n", + "163 Kristi Wilson F 2007-08-26 724 Clark Harb New Lisa MT 22201 +1-880-597-348\n", + "167 Amy Watson F 2006-03-05 916 Dickson Or Laurenside NJ 18957 (926)650-8280x\n", + "176 Jessica Hunter F 1995-08-19 6459 Walker Fa Susanstad NC 58056 945.328.8843x5\n", + "179 Stephen Baker M 2008-08-12 318 Burke Gate Port Alexandri MP 15131 +1-363-811-998\n", + "185 Connor Parker M 2006-01-01 493 Carroll Wa New Brent WY 19949 (920)303-3647x\n", + " ...\n", + " (Total: 27)" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Students who have not taken classes\n", "Student - Enroll" @@ -1213,9 +2444,236 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 44, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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116JenniferDixonF2003-11-22091 Johnson Corners Apt. 490South ShirleyboroughCO93907279-582-4940x0814
123WilliamRodgersM2000-04-1290264 Madeline JunctionDeckertonWV19442321.336.4131
132EduardoSalazarM1998-02-147551 Fuller WellNew LouisMS82665(339)952-2521x17040
136LatoyaMonroeF1992-06-2542143 Rachel Prairie Suite 361CainburghNH64649777.263.6298
138AaronJonesM1995-04-0480133 Martinez Bypass Suite 837ElizabethbergPW94321(993)964-3108x081
140TeresaThorntonF2000-10-31972 Morgan Spurs Apt. 970Lake MichaelburyWY94641394-488-6882x305
141KimberlyMillerF1994-04-25917 Denise Parkways Suite 171CalderonchesterFL69035379.632.4508x7961
151JacquelineSmithF2001-04-157199 Baker Light Apt. 368MooreportCO90892001-723-255-7672
153SamuelReyesM2001-05-11254 Mark WayWhitneyviewHI53142273-795-9329x084
154MitchellWallaceM1989-10-0721421 Susan BurgsJamesboroughNV36141564-722-2494x1742
159BrianaWoodF2008-01-1174886 Linda CircleJeffstadCO83806(914)413-8240x9050
168JuanThomasM2003-07-245059 Brittany MountainSouth MichaelAS02603001-797-980-3635
\n", + "

...

\n", + "

Total: 36

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "116 Jennifer Dixon F 2003-11-22 091 Johnson Co South Shirleyb CO 93907 279-582-4940x0\n", + "123 William Rodgers M 2000-04-12 90264 Madeline Deckerton WV 19442 321.336.4131 \n", + "132 Eduardo Salazar M 1998-02-14 7551 Fuller We New Louis MS 82665 (339)952-2521x\n", + "136 Latoya Monroe F 1992-06-25 42143 Rachel P Cainburgh NH 64649 777.263.6298 \n", + "138 Aaron Jones M 1995-04-04 80133 Martinez Elizabethberg PW 94321 (993)964-3108x\n", + "140 Teresa Thornton F 2000-10-31 972 Morgan Spu Lake Michaelbu WY 94641 394-488-6882x3\n", + "141 Kimberly Miller F 1994-04-25 917 Denise Par Calderoncheste FL 69035 379.632.4508x7\n", + "151 Jacqueline Smith F 2001-04-15 7199 Baker Lig Mooreport CO 90892 001-723-255-76\n", + "153 Samuel Reyes M 2001-05-11 254 Mark Way Whitneyview HI 53142 273-795-9329x0\n", + "154 Mitchell Wallace M 1989-10-07 21421 Susan Bu Jamesborough NV 36141 564-722-2494x1\n", + "159 Briana Wood F 2008-01-11 74886 Linda Ci Jeffstad CO 83806 (914)413-8240x\n", + "168 Juan Thomas M 2003-07-24 5059 Brittany South Michael AS 02603 001-797-980-36\n", + " ...\n", + " (Total: 36)" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Students who have taken Biology classes but no MATH courses\n", "(Student & (Enroll & 'dept=\"BIOL\"')) - (Enroll & 'dept=\"MATH\"')" @@ -1223,9 +2681,236 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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100JosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992
103XavierJonesM2002-02-264352 Elijah Corner Suite 641RichardshireCO14968(553)733-9105x51636
104KimberlyHansenF2007-12-178503 Paul PortHugheschesterKS84271001-971-761-9372x069
107ShaneRaymondM1989-08-23825 Stephen DaleRichfortME58044(512)521-8342x97955
116JenniferDixonF2003-11-22091 Johnson Corners Apt. 490South ShirleyboroughCO93907279-582-4940x0814
120AshleyBrownF1997-11-05334 Castillo Junction Apt. 170East JohnFM15306(540)763-7689
121MaryRayF1997-06-0536798 Scott DamTomlandVA44505001-218-619-3250x467
125DerrickStoneM2004-11-26111 Brian RadialHernandezhavenMS54548(545)591-8164x804
126MichelleMcdonaldF2003-07-225251 Nguyen RapidNicoleburghOK33776743.614.0026
128LeeSmithM2007-07-17979 Stephens LightsRitashireRI64958(499)729-4623x98736
141KimberlyMillerF1994-04-25917 Denise Parkways Suite 171CalderonchesterFL69035379.632.4508x7961
142DanielRobinsonM1997-12-28359 Joseph Corner Suite 709West ValeriefurtDE20224001-295-458-6684x334
\n", + "

...

\n", + "

Total: 46

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", + "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", + "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", + "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", + "116 Jennifer Dixon F 2003-11-22 091 Johnson Co South Shirleyb CO 93907 279-582-4940x0\n", + "120 Ashley Brown F 1997-11-05 334 Castillo J East John FM 15306 (540)763-7689 \n", + "121 Mary Ray F 1997-06-05 36798 Scott Da Tomland VA 44505 001-218-619-32\n", + "125 Derrick Stone M 2004-11-26 111 Brian Radi Hernandezhaven MS 54548 (545)591-8164x\n", + "126 Michelle Mcdonald F 2003-07-22 5251 Nguyen Ra Nicoleburgh OK 33776 743.614.0026 \n", + "128 Lee Smith M 2007-07-17 979 Stephens L Ritashire RI 64958 (499)729-4623x\n", + "141 Kimberly Miller F 1994-04-25 917 Denise Par Calderoncheste FL 69035 379.632.4508x7\n", + "142 Daniel Robinson M 1997-12-28 359 Joseph Cor West Valeriefu DE 20224 001-295-458-66\n", + " ...\n", + " (Total: 46)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Students who have not selected a major\n", "Student - StudentMajor" @@ -1233,9 +2918,236 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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100JosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992
101ChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610
102LauraPetersonF1995-09-088186 Martin Square Apt. 094GordonportMH27930+1-717-434-6599x2291
103XavierJonesM2002-02-264352 Elijah Corner Suite 641RichardshireCO14968(553)733-9105x51636
104KimberlyHansenF2007-12-178503 Paul PortHugheschesterKS84271001-971-761-9372x069
105JoannaRojasF1994-01-144886 Hardy Coves Apt. 297ChloeviewWV34746(557)800-7496
106SarahGreerF2006-01-2557306 Brown LightsAmandashireHI03643367-226-8446x84376
107ShaneRaymondM1989-08-23825 Stephen DaleRichfortME58044(512)521-8342x97955
108KatieMasseyF2006-06-092209 Hancock Street Apt. 348West JefferyburghPW33369(252)763-8620x0811
109JasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416
110KevinPetersonM2005-01-2920568 King Inlet Suite 635South StevenIN15195818.327.9787
112AliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659
\n", + "

...

\n", + "

Total: 189

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", + "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", + "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", + "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", + "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", + "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", + "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", + "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", + "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", + "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", + "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", + "112 Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6\n", + " ...\n", + " (Total: 189)" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Students who are taking courses in the current term\n", "Student - (Enroll & CurrentTerm)" @@ -1243,18 +3155,197 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "'SELECT `student_id`,`first_name`,`last_name`,`sex`,`date_of_birth`,`home_address`,`home_city`,`home_state`,`home_zip`,`home_phone` FROM `university`.`student` WHERE ((`student_id`) not in (SELECT `student_id` FROM `university`.`enroll` WHERE ((`term_year`,`term`) in (SELECT `term_year`,`term` FROM `university`.`current_term`))))'" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ + "# show corresponding SQL\n", "(Student - (Enroll & CurrentTerm)).make_sql()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
165BIOL10062004Springa
101BIOL10062007Falla
218BIOL10062007Falla
221BIOL10062011Falla
150BIOL10062013Springa
288BIOL10062014Fallc
249BIOL10062015Falla
200BIOL10102000Summerb
122BIOL10102000Fallb
100BIOL10102002Springc
251BIOL10102002Springc
206BIOL10102002Falla
\n", + "

...

\n", + "

Total: 252

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+\n", + "165 BIOL 1006 2004 Spring a \n", + "101 BIOL 1006 2007 Fall a \n", + "218 BIOL 1006 2007 Fall a \n", + "221 BIOL 1006 2011 Fall a \n", + "150 BIOL 1006 2013 Spring a \n", + "288 BIOL 1006 2014 Fall c \n", + "249 BIOL 1006 2015 Fall a \n", + "200 BIOL 1010 2000 Summer b \n", + "122 BIOL 1010 2000 Fall b \n", + "100 BIOL 1010 2002 Spring c \n", + "251 BIOL 1010 2002 Spring c \n", + "206 BIOL 1010 2002 Fall a \n", + " ...\n", + " (Total: 252)" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Ungraded courses\n", "Enroll - Grade" @@ -1262,9 +3353,115 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
207CS40002018Fallb
207PHYS20602018Fallb
\n", + " \n", + "

Total: 2

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section \n", + "+------------+ +------+ +--------+ +-----------+ +------+ +---------+\n", + "207 CS 4000 2018 Fall b \n", + "207 PHYS 2060 2018 Fall b \n", + " (Total: 2)" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Ungraded courses in the current term\n", "(Enroll & CurrentTerm) - Grade" @@ -1272,9 +3469,236 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
111KellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864
113KatieDavisF1999-12-15843 Thomas Lane Suite 599MatthewtonIN62019001-506-288-6610
122DawnStewartF2002-12-081076 Davis RoadsNorth ErikaMA04467001-342-622-1261x011
123WilliamRodgersM2000-04-1290264 Madeline JunctionDeckertonWV19442321.336.4131
124JenniferAllenF2007-07-1127766 Patterson Course Suite 152HoffmanviewVT87137239.327.3583x3603
127Mr.MichaelM2000-09-085247 Lindsey Inlet Suite 685AyalashireOH55972001-730-783-9938x244
135KimberlyWrightF1990-11-11146 Barrett Mission Suite 980Port RobertFL24348732-443-7126x5221
136LatoyaMonroeF1992-06-2542143 Rachel Prairie Suite 361CainburghNH64649777.263.6298
140TeresaThorntonF2000-10-31972 Morgan Spurs Apt. 970Lake MichaelburyWY94641394-488-6882x305
154MitchellWallaceM1989-10-0721421 Susan BurgsJamesboroughNV36141564-722-2494x1742
158StevenZhangM2006-02-0488235 Jennifer Ridges Suite 781West TonyaOH52661(674)481-2647x65226
161AnthonyDeckerM2001-04-02283 Dennis Rapids Apt. 573New TracistadMP535779077996542
\n", + "

...

\n", + "

Total: 134

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", + "113 Katie Davis F 1999-12-15 843 Thomas Lan Matthewton IN 62019 001-506-288-66\n", + "122 Dawn Stewart F 2002-12-08 1076 Davis Roa North Erika MA 04467 001-342-622-12\n", + "123 William Rodgers M 2000-04-12 90264 Madeline Deckerton WV 19442 321.336.4131 \n", + "124 Jennifer Allen F 2007-07-11 27766 Patterso Hoffmanview VT 87137 239.327.3583x3\n", + "127 Mr. Michael M 2000-09-08 5247 Lindsey I Ayalashire OH 55972 001-730-783-99\n", + "135 Kimberly Wright F 1990-11-11 146 Barrett Mi Port Robert FL 24348 732-443-7126x5\n", + "136 Latoya Monroe F 1992-06-25 42143 Rachel P Cainburgh NH 64649 777.263.6298 \n", + "140 Teresa Thornton F 2000-10-31 972 Morgan Spu Lake Michaelbu WY 94641 394-488-6882x3\n", + "154 Mitchell Wallace M 1989-10-07 21421 Susan Bu Jamesborough NV 36141 564-722-2494x1\n", + "158 Steven Zhang M 2006-02-04 88235 Jennifer West Tonya OH 52661 (674)481-2647x\n", + "161 Anthony Decker M 2001-04-02 283 Dennis Rap New Tracistad MP 53577 9077996542 \n", + " ...\n", + " (Total: 134)" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Students who have taken classes and have chosen a major\n", "(Student & Enroll & StudentMajor)" @@ -1282,9 +3706,236 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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student_id

\n", + " university-wide ID number\n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
100JosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992
101ChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610
102LauraPetersonF1995-09-088186 Martin Square Apt. 094GordonportMH27930+1-717-434-6599x2291
105JoannaRojasF1994-01-144886 Hardy Coves Apt. 297ChloeviewWV34746(557)800-7496
106SarahGreerF2006-01-2557306 Brown LightsAmandashireHI03643367-226-8446x84376
107ShaneRaymondM1989-08-23825 Stephen DaleRichfortME58044(512)521-8342x97955
108KatieMasseyF2006-06-092209 Hancock Street Apt. 348West JefferyburghPW33369(252)763-8620x0811
109JasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416
110KevinPetersonM2005-01-2920568 King Inlet Suite 635South StevenIN15195818.327.9787
111KellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864
112AliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659
113KatieDavisF1999-12-15843 Thomas Lane Suite 599MatthewtonIN62019001-506-288-6610
\n", + "

...

\n", + "

Total: 193

\n", + " " + ], + "text/plain": [ + "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", + "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", + "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", + "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", + "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", + "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", + "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", + "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", + "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", + "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", + "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", + "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", + "112 Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6\n", + "113 Katie Davis F 1999-12-15 843 Thomas Lan Matthewton IN 62019 001-506-288-66\n", + " ...\n", + " (Total: 193)" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Students who have taken classes or have chosen a major\n", "Student & [Enroll, StudentMajor]" @@ -1292,9 +3943,176 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 53, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
111BIOL10102018Falla
111BIOL24202018Falla
113BIOL22102015Springa
122BIOL10102000Fallb
122BIOL12101999Springa
122BIOL20102000Springa
122BIOL23551999Fallb
123BIOL22102003Summera
123BIOL23302003Springd
123BIOL24202003Falla
124BIOL10062004Summerd
124BIOL20202003Falla
\n", + "

...

\n", + "

Total: 515

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+\n", + "111 BIOL 1010 2018 Fall a \n", + "111 BIOL 2420 2018 Fall a \n", + "113 BIOL 2210 2015 Spring a \n", + "122 BIOL 1010 2000 Fall b \n", + "122 BIOL 1210 1999 Spring a \n", + "122 BIOL 2010 2000 Spring a \n", + "122 BIOL 2355 1999 Fall b \n", + "123 BIOL 2210 2003 Summer a \n", + "123 BIOL 2330 2003 Spring d \n", + "123 BIOL 2420 2003 Fall a \n", + "124 BIOL 1006 2004 Summer d \n", + "124 BIOL 2020 2003 Fall a \n", + " ...\n", + " (Total: 515)" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Enrollment in courses from the same department as the students' major\n", "Enroll & StudentMajor" @@ -1309,9 +4127,206 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 54, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

grade

\n", + " \n", + "
\n", + "

points

\n", + " \n", + "
100CS45002002SummeraA4.00
100PHYS20602004SpringaA4.00
101CS38102008SpringbA4.00
101MATH12202007FallaA4.00
102MATH12602013SpringaA4.00
109BIOL10062013SummercA4.00
109BIOL10102013SpringaA4.00
111CS45002018SummeraA4.00
111PHYS20602018SummeraA4.00
112MATH22802006SpringcA4.00
112PHYS20402009SpringaA4.00
114PHYS20602012SpringaA4.00
\n", + "

...

\n", + "

Total: 2263

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section *grade points \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+ +--------+\n", + "100 CS 4500 2002 Summer a A 4.00 \n", + "100 PHYS 2060 2004 Spring a A 4.00 \n", + "101 CS 3810 2008 Spring b A 4.00 \n", + "101 MATH 1220 2007 Fall a A 4.00 \n", + "102 MATH 1260 2013 Spring a A 4.00 \n", + "109 BIOL 1006 2013 Summer c A 4.00 \n", + "109 BIOL 1010 2013 Spring a A 4.00 \n", + "111 CS 4500 2018 Summer a A 4.00 \n", + "111 PHYS 2060 2018 Summer a A 4.00 \n", + "112 MATH 2280 2006 Spring c A 4.00 \n", + "112 PHYS 2040 2009 Spring a A 4.00 \n", + "114 PHYS 2060 2012 Spring a A 4.00 \n", + " ...\n", + " (Total: 2263)" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Grade point values\n", "Grade * LetterGrade" @@ -1319,9 +4334,386 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

grade

\n", + " \n", + "
\n", + "

first_name

\n", + " \n", + "
\n", + "

last_name

\n", + " \n", + "
\n", + "

sex

\n", + " \n", + "
\n", + "

date_of_birth

\n", + " \n", + "
\n", + "

home_address

\n", + " mailing street address\n", + "
\n", + "

home_city

\n", + " mailing address\n", + "
\n", + "

home_state

\n", + " US state acronym: e.g. OH\n", + "
\n", + "

home_zip

\n", + " zipcode e.g. 93979-4979\n", + "
\n", + "

home_phone

\n", + " e.g. 414.657.6883x0881\n", + "
\n", + "

course_name

\n", + " e.g. \"Neurobiology of Sensation and Movement.\"\n", + "
\n", + "

credits

\n", + " number of credits earned by completing the course\n", + "
\n", + "

auditorium

\n", + " \n", + "
\n", + "

points

\n", + " \n", + "
100CS45002002SummeraAJosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992Senior Capstone Project3.0E64.00
100PHYS20602004SpringaAJosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992Quantum Mechanics3.0A274.00
101CS38102008SpringbAChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610Computer Organization4.0C824.00
101MATH12202007FallaAChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610Calculus II4.0B854.00
102MATH12602013SpringaALauraPetersonF1995-09-088186 Martin Square Apt. 094GordonportMH27930+1-717-434-6599x2291Calculus for AP Students II4.0B384.00
109BIOL10062013SummercAJasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416World of Dinosaurs3.0B944.00
109BIOL10102013SpringaAJasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416Biology in the 21st Century3.0B924.00
111CS45002018SummeraAKellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864Senior Capstone Project3.0A434.00
111PHYS20602018SummeraAKellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864Quantum Mechanics3.0D54.00
112MATH22802006SpringcAAliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659Introduction to Differential Equations4.0F844.00
112PHYS20402009SpringaAAliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659Classcal Theoretical Physics II4.0F634.00
114PHYS20602012SpringaAJeremyBentonM1990-10-2525556 Robertson FlatsNorth JohnAK44145(690)759-5744x16317Quantum Mechanics3.0E204.00
\n", + "

...

\n", + "

Total: 2263

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section *grade first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone course_name credits auditorium points \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+ +------------+ +---------+ +------------+ +--------+\n", + "100 CS 4500 2002 Summer a A Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 Senior Capston 3.0 E6 4.00 \n", + "100 PHYS 2060 2004 Spring a A Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 Quantum Mechan 3.0 A27 4.00 \n", + "101 CS 3810 2008 Spring b A Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8 Computer Organ 4.0 C82 4.00 \n", + "101 MATH 1220 2007 Fall a A Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8 Calculus II 4.0 B85 4.00 \n", + "102 MATH 1260 2013 Spring a A Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659 Calculus for A 4.0 B38 4.00 \n", + "109 BIOL 1006 2013 Summer c A Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x World of Dinos 3.0 B94 4.00 \n", + "109 BIOL 1010 2013 Spring a A Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x Biology in the 3.0 B92 4.00 \n", + "111 CS 4500 2018 Summer a A Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8 Senior Capston 3.0 A43 4.00 \n", + "111 PHYS 2060 2018 Summer a A Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8 Quantum Mechan 3.0 D5 4.00 \n", + "112 MATH 2280 2006 Spring c A Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6 Introduction t 4.0 F84 4.00 \n", + "112 PHYS 2040 2009 Spring a A Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6 Classcal Theor 4.0 F63 4.00 \n", + "114 PHYS 2060 2012 Spring a A Jeremy Benton M 1990-10-25 25556 Robertso North John AK 44145 (690)759-5744x Quantum Mechan 3.0 E20 4.00 \n", + " ...\n", + " (Total: 2263)" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Graded enrollments with complete course and student information\n", "Student * Enroll * Course * Section * Grade * LetterGrade" @@ -1329,9 +4721,191 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

major

\n", + " abbreviated department name, e.g. BIOL\n", + "
111BIOL10102018FallaBIOL
111BIOL24202018FallaBIOL
111CS44002018SummercBIOL
111CS45002018SummeraBIOL
111MATH32202018FallaBIOL
111PHYS20402018SummeraBIOL
111PHYS20602018SummeraBIOL
113BIOL22102015SpringaBIOL
113MATH12202014FallaBIOL
113MATH22102014FallaBIOL
113MATH32102014FallaBIOL
122BIOL10102000FallbBIOL
\n", + "

...

\n", + "

Total: 1980

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section major \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+\n", + "111 BIOL 1010 2018 Fall a BIOL \n", + "111 BIOL 2420 2018 Fall a BIOL \n", + "111 CS 4400 2018 Summer c BIOL \n", + "111 CS 4500 2018 Summer a BIOL \n", + "111 MATH 3220 2018 Fall a BIOL \n", + "111 PHYS 2040 2018 Summer a BIOL \n", + "111 PHYS 2060 2018 Summer a BIOL \n", + "113 BIOL 2210 2015 Spring a BIOL \n", + "113 MATH 1220 2014 Fall a BIOL \n", + "113 MATH 2210 2014 Fall a BIOL \n", + "113 MATH 3210 2014 Fall a BIOL \n", + "122 BIOL 1010 2000 Fall b BIOL \n", + " ...\n", + " (Total: 1980)" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Enrollment with major information\n", "Enroll * StudentMajor.proj(major='dept')" @@ -1339,9 +4913,191 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 57, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

major

\n", + " abbreviated department name, e.g. BIOL\n", + "
111CS44002018SummercBIOL
111CS45002018SummeraBIOL
111MATH32202018FallaBIOL
111PHYS20402018SummeraBIOL
111PHYS20602018SummeraBIOL
113MATH12202014FallaBIOL
113MATH22102014FallaBIOL
113MATH32102014FallaBIOL
122CS10301999SpringaBIOL
122CS31002000SummeraBIOL
122CS32002000SpringaBIOL
122CS44002000SpringaBIOL
\n", + "

...

\n", + "

Total: 1465

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section major \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+\n", + "111 CS 4400 2018 Summer c BIOL \n", + "111 CS 4500 2018 Summer a BIOL \n", + "111 MATH 3220 2018 Fall a BIOL \n", + "111 PHYS 2040 2018 Summer a BIOL \n", + "111 PHYS 2060 2018 Summer a BIOL \n", + "113 MATH 1220 2014 Fall a BIOL \n", + "113 MATH 2210 2014 Fall a BIOL \n", + "113 MATH 3210 2014 Fall a BIOL \n", + "122 CS 1030 1999 Spring a BIOL \n", + "122 CS 3100 2000 Summer a BIOL \n", + "122 CS 3200 2000 Spring a BIOL \n", + "122 CS 4400 2000 Spring a BIOL \n", + " ...\n", + " (Total: 1465)" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Enrollment outside chosen major\n", "Enroll * StudentMajor.proj(major='dept') & 'major<>dept'" @@ -1349,9 +5105,176 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 58, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
151BIOL10061999Summera
125BIOL10061999Fallc
105BIOL10062001Springb
117BIOL10062001Springd
137BIOL10062001Springd
200BIOL10062001Springd
229BIOL10062002Springb
289BIOL10062002Summera
115BIOL10062003Springa
235BIOL10062003Springa
299BIOL10062003Springa
165BIOL10062004Springa
\n", + "

...

\n", + "

Total: 2000

\n", + " " + ], + "text/plain": [ + "*student_id *dept *course *term_year *term *section \n", + "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+\n", + "151 BIOL 1006 1999 Summer a \n", + "125 BIOL 1006 1999 Fall c \n", + "105 BIOL 1006 2001 Spring b \n", + "117 BIOL 1006 2001 Spring d \n", + "137 BIOL 1006 2001 Spring d \n", + "200 BIOL 1006 2001 Spring d \n", + "229 BIOL 1006 2002 Spring b \n", + "289 BIOL 1006 2002 Summer a \n", + "115 BIOL 1006 2003 Spring a \n", + "235 BIOL 1006 2003 Spring a \n", + "299 BIOL 1006 2003 Spring a \n", + "165 BIOL 1006 2004 Spring a \n", + " ...\n", + " (Total: 2000)" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Enrollment not matching major \n", "Enroll - StudentMajor " @@ -1359,9 +5282,206 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 59, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

grade

\n", + " \n", + "
\n", + "

total

\n", + " calculated attribute\n", + "
CS45001002002SummeraA12.000
PHYS20601002004SpringaA12.000
CS38101012008SpringbA16.000
MATH12201012007FallaA16.000
MATH12601022013SpringaA16.000
BIOL10061092013SummercA12.000
BIOL10101092013SpringaA12.000
CS45001112018SummeraA12.000
PHYS20601112018SummeraA12.000
MATH22801122006SpringcA16.000
PHYS20401122009SpringaA16.000
PHYS20601142012SpringaA12.000
\n", + "

...

\n", + "

Total: 2263

\n", + " " + ], + "text/plain": [ + "*dept *course *student_id *term_year *term *section *grade total \n", + "+------+ +--------+ +------------+ +-----------+ +--------+ +---------+ +-------+ +--------+\n", + "CS 4500 100 2002 Summer a A 12.000 \n", + "PHYS 2060 100 2004 Spring a A 12.000 \n", + "CS 3810 101 2008 Spring b A 16.000 \n", + "MATH 1220 101 2007 Fall a A 16.000 \n", + "MATH 1260 102 2013 Spring a A 16.000 \n", + "BIOL 1006 109 2013 Summer c A 12.000 \n", + "BIOL 1010 109 2013 Spring a A 12.000 \n", + "CS 4500 111 2018 Summer a A 12.000 \n", + "PHYS 2060 111 2018 Summer a A 12.000 \n", + "MATH 2280 112 2006 Spring c A 16.000 \n", + "PHYS 2040 112 2009 Spring a A 16.000 \n", + "PHYS 2060 114 2012 Spring a A 12.000 \n", + " ...\n", + " (Total: 2263)" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Total grade points\n", "(Course * Grade * LetterGrade).proj(total='points*credits')" @@ -1376,9 +5496,176 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 60, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

n

\n", + " calculated attribute\n", + "
BIOL10061999Summera1
BIOL10061999Fallc2
BIOL10062001Springb1
BIOL10062001Springd3
BIOL10062002Springa1
BIOL10062002Springb2
BIOL10062002Summera1
BIOL10062003Springa3
BIOL10062004Springa3
BIOL10062004Springb1
BIOL10062004Summerd2
BIOL10062004Falla3
\n", + "

...

\n", + "

Total: 1544

\n", + " " + ], + "text/plain": [ + "*dept *course *term_year *term *section n \n", + "+------+ +--------+ +-----------+ +--------+ +---------+ +---+\n", + "BIOL 1006 1999 Summer a 1 \n", + "BIOL 1006 1999 Fall c 2 \n", + "BIOL 1006 2001 Spring b 1 \n", + "BIOL 1006 2001 Spring d 3 \n", + "BIOL 1006 2002 Spring a 1 \n", + "BIOL 1006 2002 Spring b 2 \n", + "BIOL 1006 2002 Summer a 1 \n", + "BIOL 1006 2003 Spring a 3 \n", + "BIOL 1006 2004 Spring a 3 \n", + "BIOL 1006 2004 Spring b 1 \n", + "BIOL 1006 2004 Summer d 2 \n", + "BIOL 1006 2004 Fall a 3 \n", + " ...\n", + " (Total: 1544)" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Students in each section\n", "Section.aggr(Enroll, n='count(*)')" @@ -1386,9 +5673,131 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 61, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

avg_grade

\n", + " calculated attribute\n", + "
CS45002.433000
PHYS20602.720200
CS38101.993462
MATH12202.302791
MATH12602.106400
BIOL10062.212951
BIOL10102.392143
MATH22802.346400
PHYS20402.306600
MATH22702.071667
PHYS22202.354583
BIOL20202.234918
\n", + "

...

\n", + "

Total: 45

\n", + " " + ], + "text/plain": [ + "*dept *course avg_grade \n", + "+------+ +--------+ +-----------+\n", + "CS 4500 2.433000 \n", + "PHYS 2060 2.720200 \n", + "CS 3810 1.993462 \n", + "MATH 1220 2.302791 \n", + "MATH 1260 2.106400 \n", + "BIOL 1006 2.212951 \n", + "BIOL 1010 2.392143 \n", + "MATH 2280 2.346400 \n", + "PHYS 2040 2.306600 \n", + "MATH 2270 2.071667 \n", + "PHYS 2220 2.354583 \n", + "BIOL 2020 2.234918 \n", + " ...\n", + " (Total: 45)" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Average grade in each course\n", "Course.aggr(Grade*LetterGrade, avg_grade='avg(points)')" @@ -1396,9 +5805,206 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 62, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

course

\n", + " course number, e.g. 1010\n", + "
\n", + "

term_year

\n", + " \n", + "
\n", + "

term

\n", + " \n", + "
\n", + "

section

\n", + " \n", + "
\n", + "

n

\n", + " calculated attribute\n", + "
\n", + "

m

\n", + " calculated attribute\n", + "
\n", + "

frac

\n", + " calculated attribute\n", + "
CS45002002Summera111.0000
PHYS20602004Springa221.0000
CS38102008Springb111.0000
MATH12202007Falla441.0000
MATH12602013Springa331.0000
BIOL10062013Summerc221.0000
BIOL10102013Springa221.0000
CS45002018Summera221.0000
PHYS20602018Summera111.0000
MATH22802006Springc331.0000
PHYS20402009Springa221.0000
PHYS20602012Springa111.0000
\n", + "

...

\n", + "

Total: 1457

\n", + " " + ], + "text/plain": [ + "*dept *course *term_year *term *section n m frac \n", + "+------+ +--------+ +-----------+ +--------+ +---------+ +---+ +---+ +--------+\n", + "CS 4500 2002 Summer a 1 1 1.0000 \n", + "PHYS 2060 2004 Spring a 2 2 1.0000 \n", + "CS 3810 2008 Spring b 1 1 1.0000 \n", + "MATH 1220 2007 Fall a 4 4 1.0000 \n", + "MATH 1260 2013 Spring a 3 3 1.0000 \n", + "BIOL 1006 2013 Summer c 2 2 1.0000 \n", + "BIOL 1010 2013 Spring a 2 2 1.0000 \n", + "CS 4500 2018 Summer a 2 2 1.0000 \n", + "PHYS 2060 2018 Summer a 1 1 1.0000 \n", + "MATH 2280 2006 Spring c 3 3 1.0000 \n", + "PHYS 2040 2009 Spring a 2 2 1.0000 \n", + "PHYS 2060 2012 Spring a 1 1 1.0000 \n", + " ...\n", + " (Total: 1457)" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Fraction graded in each section\n", "(Section.aggr(Enroll,n='count(*)') * Section.aggr(Grade, m='count(*)')).proj(\n", @@ -1407,9 +6013,116 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

student_id

\n", + " university-wide ID number\n", + "
\n", + "

gpa

\n", + " calculated attribute\n", + "
1002.5947619
1012.1701020
1022.3233333
1092.5078571
1112.9860000
1122.2196250
1142.0416842
1152.2040323
1163.7563636
1172.4119259
1182.0141964
1192.6593750
\n", + "

...

\n", + "

Total: 172

\n", + " " + ], + "text/plain": [ + "*student_id gpa \n", + "+------------+ +-----------+\n", + "100 2.5947619 \n", + "101 2.1701020 \n", + "102 2.3233333 \n", + "109 2.5078571 \n", + "111 2.9860000 \n", + "112 2.2196250 \n", + "114 2.0416842 \n", + "115 2.2040323 \n", + "116 3.7563636 \n", + "117 2.4119259 \n", + "118 2.0141964 \n", + "119 2.6593750 \n", + " ...\n", + " (Total: 172)" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Student GPA\n", "Student.aggr(Course * Grade * LetterGrade, \n", @@ -1418,22 +6131,105 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

dept

\n", + " abbreviated department name, e.g. BIOL\n", + "
\n", + "

avg_gpa

\n", + " calculated attribute\n", + "
BIOL2.17370238333
CS2.22539188108
MATH2.38795213871
PHYS2.21392633714
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*dept avg_gpa \n", + "+------+ +------------+\n", + "BIOL 2.17370238333 \n", + "CS 2.22539188108 \n", + "MATH 2.38795213871 \n", + "PHYS 2.21392633714 \n", + " (Total: 4)" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Average GPA for each major\n", "gpa = Student.aggr(Course * Grade * LetterGrade,\n", " gpa='sum(points*credits)/sum(credits)')\n", "Department.aggr(StudentMajor*gpa, avg_gpa='avg(gpa)')" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/db-course/006-Joins-HW.ipynb b/db-course/006-Joins-HW.ipynb index cbe4bce..72ce93d 100644 --- a/db-course/006-Joins-HW.ipynb +++ b/db-course/006-Joins-HW.ipynb @@ -2,18 +2,9 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 147, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-24 23:07:16,843][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-24 23:07:16,851][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], + "outputs": [], "source": [ "import datajoint as dj\n", "\n", @@ -27,12 +18,15 @@ "hotel.spawn_missing_classes()\n", "\n", "university = dj.Schema('university')\n", - "university.spawn_missing_classes()" + "university.spawn_missing_classes()\n", + "\n", + "app = dj.Schema('app')\n", + "app.spawn_missing_classes()" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 148, "metadata": {}, "outputs": [ { @@ -42,31 +36,31 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "1\n", - "\n", - "1\n", + "32\n", + "\n", + "32\n", "\n", "\n", "\n", "Report\n", - "\n", + "\n", "\n", - "Report\n", + "Report\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "1->Report\n", - "\n", + "32->Report\n", + "\n", "\n", - "\n", + "\n", "\n", - "0\n", - "\n", - "0\n", + "33\n", + "\n", + "33\n", "\n", "\n", "\n", @@ -77,10 +71,10 @@ "\n", "\n", "\n", - "\n", + "\n", "\n", - "0->Customer\n", - "\n", + "33->Customer\n", + "\n", "\n", "\n", "\n", @@ -141,8 +135,8 @@ "\n", "Office\n", "\n", - "\n", - "Office\n", + "\n", + "Office\n", "\n", "\n", "\n", @@ -150,15 +144,15 @@ "\n", "Employee\n", "\n", - "\n", - "Employee\n", + "\n", + "Employee\n", "\n", "\n", "\n", "\n", "\n", "Office->Employee\n", - "\n", + "\n", "\n", "\n", "\n", @@ -175,24 +169,29 @@ "Customer->Order\n", "\n", "\n", - "\n", + "\n", + "\n", + "Employee->32\n", + "\n", + "\n", + "\n", "\n", - "Employee->1\n", - "\n", + "Employee->33\n", + "\n", "\n", - "\n", - "\n", - "Employee->0\n", - "\n", + "\n", + "\n", + "Employee->Report\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 2, + "execution_count": 148, "metadata": {}, "output_type": "execute_result" } @@ -203,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 149, "metadata": {}, "outputs": [ { @@ -314,10 +313,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 3, + "execution_count": 149, "metadata": {}, "output_type": "execute_result" } @@ -328,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 150, "metadata": {}, "outputs": [ { @@ -421,10 +420,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 4, + "execution_count": 150, "metadata": {}, "output_type": "execute_result" } @@ -435,7 +434,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 151, "metadata": {}, "outputs": [ { @@ -520,9 +519,9 @@ "\n", "\n", "\n", - "\n", + "\n", "Grade\n", - "\n", + "\n", "\n", "Grade\n", "\n", @@ -553,9 +552,9 @@ "\n", "\n", "\n", - "\n", + "\n", "Term\n", - "\n", + "\n", "\n", "Term\n", "\n", @@ -589,10 +588,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 5, + "execution_count": 151, "metadata": {}, "output_type": "execute_result" } @@ -601,868 +600,228 @@ "dj.Diagram(university)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Homework 6: Joins\n", - "\n", - "The following queries may require joins. Some queries may be performed using subquiries without joins." - ] - }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 152, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "9\n", - "\n", - "9\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", "\n", - "\n", - "\n", - "Report\n", - "\n", - "\n", - "Report\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "9->Report\n", - "\n", + "CreditCard->Purchase\n", + "\n", "\n", - "\n", + "\n", "\n", - "8\n", - "\n", - "8\n", - "\n", - "\n", - "\n", - "Customer\n", - "\n", - "\n", - "Customer\n", + "Account\n", + "\n", + "\n", + "Account\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "8->Customer\n", - "\n", - "\n", - "\n", - "\n", - "Payment\n", - "\n", - "\n", - "Payment\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Order\n", - "\n", - "\n", - "Order\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Order.Item\n", - "\n", - "\n", - "Order.Item\n", - "\n", + "Account->CreditCard\n", + "\n", "\n", - "\n", - "\n", + "\n", "\n", - "Order->Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "ProductLine\n", - "\n", - "\n", - "ProductLine\n", - "\n", + "Account->Purchase\n", + "\n", "\n", - "\n", - "\n", - "\n", - "Product\n", - "\n", - "\n", - "Product\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "ProductLine->Product\n", - "\n", - "\n", - "\n", - "\n", - "Office\n", - "\n", - "\n", - "Office\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Employee\n", - "\n", - "\n", - "Employee\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Office->Employee\n", - "\n", - "\n", - "\n", - "\n", - "Product->Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "Customer->Payment\n", - "\n", - "\n", - "\n", - "\n", - "Customer->Order\n", - "\n", - "\n", - "\n", - "\n", - "Employee->9\n", - "\n", - "\n", - "\n", - "\n", - "Employee->8\n", - "\n", + "AddOn->Purchase\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 6, + "execution_count": 152, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "dj.Diagram(sales)" + "dj.Diagram(app)" ] }, { - "cell_type": "code", - "execution_count": 13, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

employee_number

\n", - " \n", - "
\n", - "

office_code

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

city

\n", - " \n", - "
\n", - "

phone

\n", - " \n", - "
\n", - "

postal_line1

\n", - " \n", - "
\n", - "

postal_line2

\n", - " \n", - "
\n", - "

state

\n", - " \n", - "
\n", - "

country

\n", - " \n", - "
\n", - "

postal_code

\n", - " \n", - "
\n", - "

territory

\n", - " \n", - "
10021MurphyDianeSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
10561PattersonMarySan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
10761FirrelliJeffSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11431BowAnthonySan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11651JenningsLeslieSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11661ThompsonLeslieSan Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
11882FirrelliJulieBoston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
12162PattersonSteveBoston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
12863TsengFoon YueNYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
13233VanaufGeorgeNYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
11024BondurGerardParis+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
13374BondurLouiParis+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
\n", - "

...

\n", - "

Total: 23

\n", - " " - ], - "text/plain": [ - "*employee_numb *office_code last_name first_name city phone postal_line1 postal_line2 state country postal_code territory \n", - "+------------+ +------------+ +-----------+ +------------+ +------------+ +------------+ +------------+ +------------+ +-------+ +---------+ +------------+ +-----------+\n", - "1002 1 Murphy Diane San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", - "1056 1 Patterson Mary San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", - "1076 1 Firrelli Jeff San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", - "1143 1 Bow Anthony San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", - "1165 1 Jennings Leslie San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", - "1166 1 Thompson Leslie San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA \n", - "1188 2 Firrelli Julie Boston +1 215 837 082 1550 Court Pla Suite 102 MA USA 02107 NA \n", - "1216 2 Patterson Steve Boston +1 215 837 082 1550 Court Pla Suite 102 MA USA 02107 NA \n", - "1286 3 Tseng Foon Yue NYC +1 212 555 300 523 East 53rd apt. 5A NY USA 10022 NA \n", - "1323 3 Vanauf George NYC +1 212 555 300 523 East 53rd apt. 5A NY USA 10022 NA \n", - "1102 4 Bondur Gerard Paris +33 14 723 440 43 Rue Jouffro None None France 75017 EMEA \n", - "1337 4 Bondur Loui Paris +33 14 723 440 43 Rue Jouffro None None France 75017 EMEA \n", - " ...\n", - " (Total: 23)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "# List all employees names with their office address\n", - "Employee.proj('first_name', 'last_name', 'office_code') * Office " + "# Homework 6: Joins and Subqueries\n", + "\n", + "The following queries may require joins. Some queries may be performed using subquiries without joins." ] }, { - "cell_type": "code", - "execution_count": 14, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "import pymysql\n", - "pymysql.install_as_MySQLdb()\n", - "\n", - "%load_ext sql\n", - "%config SqlMagic.autocommit=True\n", - "%sql mysql://root:simple@127.0.0.1" + "**Problem 1 (sales)**: Show customer names along with the last names of their sales rep (omitting ones that don't have a sales rep)." ] }, { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "vscode": { - "languageId": "sql" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "0 rows affected.\n", - "23 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
first_namelast_nameoffice_codecityphonepostal_line1postal_line2statecountrypostal_codeterritory
DianeMurphy1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
MaryPatterson1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
JeffFirrelli1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
AnthonyBow1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
LeslieJennings1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
LeslieThompson1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA
JulieFirrelli2Boston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
StevePatterson2Boston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA
Foon YueTseng3NYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
GeorgeVanauf3NYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA
GerardBondur4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
LouiBondur4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
GerardHernandez4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
PamelaCastillo4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
MartinGerard4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA
MamiNishi5Tokyo+81 33 224 50004-1 KioichoNoneChiyoda-KuJapan102-8578Japan
YoshimiKato5Tokyo+81 33 224 50004-1 KioichoNoneChiyoda-KuJapan102-8578Japan
WilliamPatterson6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
AndyFixter6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
PeterMarsh6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
TomKing6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC
LarryBott7London+44 20 7877 204125 Old Broad StreetLevel 7NoneUKEC2N 1HNEMEA
BarryJones7London+44 20 7877 204125 Old Broad StreetLevel 7NoneUKEC2N 1HNEMEA
" - ], - "text/plain": [ - "[('Diane', 'Murphy', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", - " ('Mary', 'Patterson', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", - " ('Jeff', 'Firrelli', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", - " ('Anthony', 'Bow', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", - " ('Leslie', 'Jennings', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", - " ('Leslie', 'Thompson', '1', 'San Francisco', '+1 650 219 4782', '100 Market Street', 'Suite 300', 'CA', 'USA', '94080', 'NA'),\n", - " ('Julie', 'Firrelli', '2', 'Boston', '+1 215 837 0825', '1550 Court Place', 'Suite 102', 'MA', 'USA', '02107', 'NA'),\n", - " ('Steve', 'Patterson', '2', 'Boston', '+1 215 837 0825', '1550 Court Place', 'Suite 102', 'MA', 'USA', '02107', 'NA'),\n", - " ('Foon Yue', 'Tseng', '3', 'NYC', '+1 212 555 3000', '523 East 53rd Street', 'apt. 5A', 'NY', 'USA', '10022', 'NA'),\n", - " ('George', 'Vanauf', '3', 'NYC', '+1 212 555 3000', '523 East 53rd Street', 'apt. 5A', 'NY', 'USA', '10022', 'NA'),\n", - " ('Gerard', 'Bondur', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", - " ('Loui', 'Bondur', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", - " ('Gerard', 'Hernandez', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", - " ('Pamela', 'Castillo', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", - " ('Martin', 'Gerard', '4', 'Paris', '+33 14 723 4404', \"43 Rue Jouffroy D'abbans\", None, None, 'France', '75017', 'EMEA'),\n", - " ('Mami', 'Nishi', '5', 'Tokyo', '+81 33 224 5000', '4-1 Kioicho', None, 'Chiyoda-Ku', 'Japan', '102-8578', 'Japan'),\n", - " ('Yoshimi', 'Kato', '5', 'Tokyo', '+81 33 224 5000', '4-1 Kioicho', None, 'Chiyoda-Ku', 'Japan', '102-8578', 'Japan'),\n", - " ('William', 'Patterson', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", - " ('Andy', 'Fixter', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", - " ('Peter', 'Marsh', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", - " ('Tom', 'King', '6', 'Sydney', '+61 2 9264 2451', '5-11 Wentworth Avenue', 'Floor #2', None, 'Australia', 'NSW 2010', 'APAC'),\n", - " ('Larry', 'Bott', '7', 'London', '+44 20 7877 2041', '25 Old Broad Street', 'Level 7', None, 'UK', 'EC2N 1HN', 'EMEA'),\n", - " ('Barry', 'Jones', '7', 'London', '+44 20 7877 2041', '25 Old Broad Street', 'Level 7', None, 'UK', 'EC2N 1HN', 'EMEA')]" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "markdown", + "metadata": {}, "source": [ - "%%sql\n", - "-- List all employee names and their office address\n", - "\n", - "USE classicsales;\n", - "\n", - "SELECT first_name, last_name, office.* FROM employee NATURAL JOIN office;" + "**Problem 2 (sales)**: Show all employees, including the last name of their boss (omitting the top boss who reports to no one)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Homework 7: Aggregations" + "**Problem 3 (sales):** Show all employees whose boss' office is outside the USA." ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# List all regions and the number " + "**Problem 4 (sales):** Show all employees whose boss is in a different office." ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 5 (sales):** Show all customers who have bought model trains." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 6 (sales):** Show all employees who have not sold model trains." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 7 (nations)**: Show the names of all countries in Antartica along with their populations in 1996" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 8 (nations)**: Show the names of countries on the continent of Oceania along with their populations in 1996" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 9 (nations)**: Show the top 10 contries by their absolute population increase between 1990 and 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 10 (nations)**: Show the top 10 contries by their percent increase in per capita gdp from 1990 to 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 11 (nations)**: List the top 5 most populous countries where Spanish is the official languag in 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 12 (nations)**: List the top 10 wealthiest (per capita) non-English speaking countries in 2015." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 13 (hotel)**: List all the reservations for 2023-11-01, including the room price, and the guest's last name. (Feel free to pick a different date.)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 14 (hotel)**: Show all guests who have checked in and not checked out." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 15 (university):** Pick one student and show his or her course enrollments in the current term." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 16 (university):** Show all students who have received As in math in the current term." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 17 (app):** List names of the buyers from the latest 10 sales of the Marathon app." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 18 (app):** List the latest sales made on the buyers' birthdays, including the name of the app." + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [] } ], diff --git a/db-course/007-Aggregation.ipynb b/db-course/007-Aggregation.ipynb index 0fb40f2..bd30421 100644 --- a/db-course/007-Aggregation.ipynb +++ b/db-course/007-Aggregation.ipynb @@ -29,28 +29,22 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "# Aggregation Queries\n", - "\n", - "Queries using aggregation functions, `GROUP BY`, and `HAVING` clauses. Using `LEFT JOIN` in combination with `GROUP BY`" + "import datajoint as dj\n", + "schema = dj.Schema('app')\n", + "schema.spawn_missing_classes()\n", + "dj.Diagram(schema)" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The sql extension is already loaded. To reload it, use:\n", - " %reload_ext sql\n" - ] - } - ], + "outputs": [], "source": [ "import pymysql\n", "pymysql.install_as_MySQLdb()\n", @@ -60,116 +54,21 @@ ] }, { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "%3\n", - "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "Purchase\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "AddOn->Purchase\n", - "\n", - "\n", - "\n", - "\n", - "CreditCard->Purchase\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "cell_type": "markdown", + "metadata": {}, "source": [ - "import datajoint as dj\n", - "schema = dj.Schema('app')\n", - "schema.spawn_missing_classes()\n", - "dj.Diagram(schema)" + "# Aggregation Queries\n", + "\n", + "Queries using aggregation functions, `GROUP BY`, and `HAVING` clauses. Using `LEFT JOIN` in combination with `GROUP BY`.\n", + "\n", + "Aggregation functions: `MAX`, `MIN`, `AVG`, `SUM`, and `COUNT`." ] }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "0 rows affected.\n" - ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "%%sql\n", "USE app" @@ -177,52 +76,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
phoneaddon_idcard_numberpurchase_date
1030448631616304770672212023-10-22
" - ], - "text/plain": [ - "[(10304486316, 1, 630477067221, datetime.date(2023, 10, 22))]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the date of the last purchase \n", @@ -231,108 +91,35 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
last_purchasefirst_purchasephonecard_number
2023-10-222023-09-2410060545047371330613423047
" - ], - "text/plain": [ - "[(datetime.date(2023, 10, 22), datetime.date(2023, 9, 24), 10060545047, 371330613423047)]" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the data of the last pruchase \n", "SELECT max(purchase_date) last_purchase, min(purchase_date) first_purchase, phone, card_number FROM purchase" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Aggregation functions MAX, MIN, AVG, SUM, COUNT" + ] + }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
phonefirst_namelast_namedobsex
63099749199MartinSexton2023-10-17M
" - ], - "text/plain": [ - "[(63099749199, 'Martin', 'Sexton', datetime.date(2023, 10, 17), 'M')]" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the date of birth of the youngest person\n", @@ -341,48 +128,13 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
dobphone
2023-10-1710013740006
" - ], - "text/plain": [ - "[(datetime.date(2023, 10, 17), 10013740006)]" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the date of birth of the youngest person \n", @@ -392,54 +144,13 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
phonefirst_namelast_namedobsex
10013740006GinaShaw1914-11-23F
" - ], - "text/plain": [ - "[(10013740006, 'Gina', 'Shaw', datetime.date(1914, 11, 23), 'F')]" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "SELECT * FROM account where phone=10013740006" @@ -447,54 +158,13 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
phonefirst_namelast_namedobsex
63099749199MartinSexton2023-10-17M
" - ], - "text/plain": [ - "[(63099749199, 'Martin', 'Sexton', datetime.date(2023, 10, 17), 'M')]" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the youngest person \n", @@ -503,93 +173,13 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "
\n", - "

avg_age

\n", - " calculated attribute\n", - "
57
\n", - " \n", - "

Total: 1

\n", - " " - ], - "text/plain": [ - "avg_age \n", - "+---------+\n", - "57 \n", - " (Total: 1)" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# show average male age\n", "dj.U().aggr(Account & 'sex=\"M\"' , avg_age=\"floor(avg(DATEDIFF(now(), dob)) / 365.25)\")" @@ -597,46 +187,13 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
avg_age
57
" - ], - "text/plain": [ - "[(57,)]" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "SELECT floor(avg(DATEDIFF(now(), dob)) / 365.25) as avg_age FROM account WHERE sex=\"M\"" @@ -644,116 +201,27 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "1 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
count(*)count(phone)count(DISTINCT first_name, last_name)count(dob)
1050110501974310001
" - ], - "text/plain": [ - "[(10501, 10501, 9743, 10001)]" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "SELECT count(*), count(phone), count(DISTINCT first_name, last_name), count(dob) FROM account;" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Aggregation functions MAX, MIN, AVG, SUM, COUNT" - ] - }, { "cell_type": "code", - "execution_count": 67, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "3 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
addon_idn
11633
21671
31696
" - ], - "text/plain": [ - "[(1, 1633), (2, 1671), (3, 1696)]" - ] - }, - "execution_count": 67, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show how many of purchases have been done for each addon\n", @@ -763,62 +231,13 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "3 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
addon_idaddon_nameprice
1Track & Field13.99
2Marathon26.20
3Sprint100.00
" - ], - "text/plain": [ - "[(1, 'Track & Field', Decimal('13.99')),\n", - " (2, 'Marathon', Decimal('26.20')),\n", - " (3, 'Sprint', Decimal('100.00'))]" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "SELECT * FROM `#add_on` LIMIT 10" @@ -826,137 +245,13 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "10 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
addon_idphonecard_numberpurchase_dateaddon_nameprice
1100605450473713306134230472023-10-06Track & Field13.99
1101798744803752128629186512023-10-10Track & Field13.99
11019463484646248430862690662023-10-02Track & Field13.99
11026677649035058127799195152023-09-29Track & Field13.99
11026974365625421082601849002023-10-14Track & Field13.99
1102912586792131553203909952023-10-12Track & Field13.99
1103044863166304770672212023-10-22Track & Field13.99
1103055553432131582677838672023-10-14Track & Field13.99
11036961796622299641244472342023-10-05Track & Field13.99
1104157480582131489609763632023-10-11Track & Field13.99
" - ], - "text/plain": [ - "[(1, 10060545047, 371330613423047, datetime.date(2023, 10, 6), 'Track & Field', Decimal('13.99')),\n", - " (1, 10179874480, 375212862918651, datetime.date(2023, 10, 10), 'Track & Field', Decimal('13.99')),\n", - " (1, 10194634846, 4624843086269066, datetime.date(2023, 10, 2), 'Track & Field', Decimal('13.99')),\n", - " (1, 10266776490, 3505812779919515, datetime.date(2023, 9, 29), 'Track & Field', Decimal('13.99')),\n", - " (1, 10269743656, 2542108260184900, datetime.date(2023, 10, 14), 'Track & Field', Decimal('13.99')),\n", - " (1, 10291258679, 213155320390995, datetime.date(2023, 10, 12), 'Track & Field', Decimal('13.99')),\n", - " (1, 10304486316, 630477067221, datetime.date(2023, 10, 22), 'Track & Field', Decimal('13.99')),\n", - " (1, 10305555343, 213158267783867, datetime.date(2023, 10, 14), 'Track & Field', Decimal('13.99')),\n", - " (1, 10369617966, 2229964124447234, datetime.date(2023, 10, 5), 'Track & Field', Decimal('13.99')),\n", - " (1, 10415748058, 213148960976363, datetime.date(2023, 10, 11), 'Track & Field', Decimal('13.99'))]" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "SELECT * FROM purchase NATURAL JOIN `#add_on` LIMIT 10" @@ -964,93 +259,13 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "10 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
phonetotal_spending
17339432875140.19
12417448955140.19
16515577510140.19
12437069343140.19
26558060536140.19
11182160746140.19
22836957772140.19
20876162630140.19
28238508010140.19
21548612635140.19
" - ], - "text/plain": [ - "[(17339432875, Decimal('140.19')),\n", - " (12417448955, Decimal('140.19')),\n", - " (16515577510, Decimal('140.19')),\n", - " (12437069343, Decimal('140.19')),\n", - " (26558060536, Decimal('140.19')),\n", - " (11182160746, Decimal('140.19')),\n", - " (22836957772, Decimal('140.19')),\n", - " (20876162630, Decimal('140.19')),\n", - " (28238508010, Decimal('140.19')),\n", - " (21548612635, Decimal('140.19'))]" - ] - }, - "execution_count": 88, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the total money spent by each account (limit to top 10)\n", @@ -1063,30 +278,13 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "(pymysql.err.OperationalError) (1054, \"Unknown column 'total_spending' in 'where clause'\")\n", - "[SQL: -- show the names of people who spent less than 100\n", - "\n", - "SELECT phone, sum(price) as total_spending \n", - " FROM purchase NATURAL JOIN `#add_on` \n", - " WHERE total_spending < 100\n", - " GROUP BY (phone) \n", - " LIMIT 10]\n", - "(Background on this error at: https://sqlalche.me/e/20/e3q8)\n" - ] - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the names of people who spent less than $100\n", @@ -1100,115 +298,13 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "10 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
phonefirst_namelast_nametotal_spending
10179874480TheresaVargas13.99
10194634846JosephKrueger13.99
10266776490PatrickWaller40.19
10269743656JacobMartin13.99
10291258679MatthewKelley13.99
10304486316KarenGibson13.99
10305555343KaylaHernandez13.99
10415748058MarkIngram40.19
10425906940JimmyTurner13.99
10551831628JocelynOchoa13.99
" - ], - "text/plain": [ - "[(10179874480, 'Theresa', 'Vargas', Decimal('13.99')),\n", - " (10194634846, 'Joseph', 'Krueger', Decimal('13.99')),\n", - " (10266776490, 'Patrick', 'Waller', Decimal('40.19')),\n", - " (10269743656, 'Jacob', 'Martin', Decimal('13.99')),\n", - " (10291258679, 'Matthew', 'Kelley', Decimal('13.99')),\n", - " (10304486316, 'Karen', 'Gibson', Decimal('13.99')),\n", - " (10305555343, 'Kayla', 'Hernandez', Decimal('13.99')),\n", - " (10415748058, 'Mark', 'Ingram', Decimal('40.19')),\n", - " (10425906940, 'Jimmy', 'Turner', Decimal('13.99')),\n", - " (10551831628, 'Jocelyn', 'Ochoa', Decimal('13.99'))]" - ] - }, - "execution_count": 104, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the names of people who spent less than $100\n", @@ -1225,181 +321,13 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "10 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
addon_idphonefirst_namelast_namedobsexcard_numberpurchase_dateaddon_nameprice
None10013740006GinaShaw1914-11-23FNoneNoneNoneNone
None10016834227ElizabethWeeks1936-09-04FNoneNoneNoneNone
None10019159850JoshuaMcdowell2007-12-14MNoneNoneNoneNone
None10027902431RobertBailey2002-10-16MNoneNoneNoneNone
None10052023046PeterEnglish2023-09-22MNoneNoneNoneNone
110060545047LatoyaCohen1917-01-02F3713306134230472023-10-06Track & Field13.99
310060545047LatoyaCohen1917-01-02F3713306134230472023-09-28Sprint100.00
None10074130737GinaWalters2023-09-24FNoneNoneNoneNone
None10079483739GinaCompton1934-08-10FNoneNoneNoneNone
210089699053TerriReid1987-05-22F47188424801162023-10-15Marathon26.20
" - ], - "text/plain": [ - "[(None, 10013740006, 'Gina', 'Shaw', datetime.date(1914, 11, 23), 'F', None, None, None, None),\n", - " (None, 10016834227, 'Elizabeth', 'Weeks', datetime.date(1936, 9, 4), 'F', None, None, None, None),\n", - " (None, 10019159850, 'Joshua', 'Mcdowell', datetime.date(2007, 12, 14), 'M', None, None, None, None),\n", - " (None, 10027902431, 'Robert', 'Bailey', datetime.date(2002, 10, 16), 'M', None, None, None, None),\n", - " (None, 10052023046, 'Peter', 'English', datetime.date(2023, 9, 22), 'M', None, None, None, None),\n", - " (1, 10060545047, 'Latoya', 'Cohen', datetime.date(1917, 1, 2), 'F', 371330613423047, datetime.date(2023, 10, 6), 'Track & Field', Decimal('13.99')),\n", - " (3, 10060545047, 'Latoya', 'Cohen', datetime.date(1917, 1, 2), 'F', 371330613423047, datetime.date(2023, 9, 28), 'Sprint', Decimal('100.00')),\n", - " (None, 10074130737, 'Gina', 'Walters', datetime.date(2023, 9, 24), 'F', None, None, None, None),\n", - " (None, 10079483739, 'Gina', 'Compton', datetime.date(1934, 8, 10), 'F', None, None, None, None),\n", - " (2, 10089699053, 'Terri', 'Reid', datetime.date(1987, 5, 22), 'F', 4718842480116, datetime.date(2023, 10, 15), 'Marathon', Decimal('26.20'))]" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql \n", "-- explaining LEFT joins\n", @@ -1408,120 +336,18 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "10 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
phonefirst_namelast_nametotal_spending
10013740006GinaShaw0.00
10016834227ElizabethWeeks0.00
10019159850JoshuaMcdowell0.00
10027902431RobertBailey0.00
10052023046PeterEnglish0.00
10074130737GinaWalters0.00
10079483739GinaCompton0.00
10089699053TerriReid26.20
10092272331LindaGross0.00
10110229863BrandonJones0.00
" - ], - "text/plain": [ - "[(10013740006, 'Gina', 'Shaw', Decimal('0.00')),\n", - " (10016834227, 'Elizabeth', 'Weeks', Decimal('0.00')),\n", - " (10019159850, 'Joshua', 'Mcdowell', Decimal('0.00')),\n", - " (10027902431, 'Robert', 'Bailey', Decimal('0.00')),\n", - " (10052023046, 'Peter', 'English', Decimal('0.00')),\n", - " (10074130737, 'Gina', 'Walters', Decimal('0.00')),\n", - " (10079483739, 'Gina', 'Compton', Decimal('0.00')),\n", - " (10089699053, 'Terri', 'Reid', Decimal('26.20')),\n", - " (10092272331, 'Linda', 'Gross', Decimal('0.00')),\n", - " (10110229863, 'Brandon', 'Jones', Decimal('0.00'))]" - ] - }, - "execution_count": 110, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "%%sql\n", "-- show the names of people who spent less than $100\n", "SELECT * FROM (\n", - " SELECT phone, first_name, last_name, ifnull(sum(price), 0) as total_spending \n", + " SELECT phone, first_name, last_name, sum(ifnull(price), 0) as total_spending \n", " FROM account NATURAL LEFT JOIN purchase NATURAL LEFT JOIN `#add_on` \n", " GROUP BY (phone)) as q \n", "WHERE total_spending < 100\n", From c5de545e0250ea29b3dd0fb35e49109b46eaed68 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 31 Oct 2023 22:09:21 +0000 Subject: [PATCH 26/33] add Assignment 7 --- .../{Indexes.ipynb => 003-Indexes.ipynb} | 0 db-course/{UUID.ipynb => 003-UUID.ipynb} | 0 db-course/004-DatabaseHotel.ipynb | 129 +- db-course/004-DatabaseNations.ipynb | 17 +- db-course/004-DatabaseSales.ipynb | 6 +- db-course/004-DatabaseUniversity.ipynb | 5596 +++++------------ db-course/004-Design.ipynb | 198 +- db-course/007-Aggregation-HW.ipynb | 765 +++ db-course/007-Aggregation.ipynb | 942 +-- ...Sets.ipynb => 007-Compute-JuliaSets.ipynb} | 0 10 files changed, 2521 insertions(+), 5132 deletions(-) rename db-course/{Indexes.ipynb => 003-Indexes.ipynb} (100%) rename db-course/{UUID.ipynb => 003-UUID.ipynb} (100%) create mode 100644 db-course/007-Aggregation-HW.ipynb rename db-course/{JuliaSets.ipynb => 007-Compute-JuliaSets.ipynb} (100%) diff --git a/db-course/Indexes.ipynb b/db-course/003-Indexes.ipynb similarity index 100% rename from db-course/Indexes.ipynb rename to db-course/003-Indexes.ipynb diff --git a/db-course/UUID.ipynb b/db-course/003-UUID.ipynb similarity index 100% rename from db-course/UUID.ipynb rename to db-course/003-UUID.ipynb diff --git a/db-course/004-DatabaseHotel.ipynb b/db-course/004-DatabaseHotel.ipynb index 7d7df66..afda88f 100644 --- a/db-course/004-DatabaseHotel.ipynb +++ b/db-course/004-DatabaseHotel.ipynb @@ -42,10 +42,19 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "id": "fc703fb8", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-31 21:29:48,070][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-31 21:29:48,100][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "schema = dj.Schema('hotel')" @@ -53,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "62d97e04", "metadata": {}, "outputs": [], @@ -69,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "id": "280e7440", "metadata": {}, "outputs": [], @@ -86,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "dc952e39", "metadata": {}, "outputs": [], @@ -103,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "14929f5b", "metadata": {}, "outputs": [], @@ -120,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "61f03f74", "metadata": {}, "outputs": [], @@ -134,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "id": "c163c97c", "metadata": {}, "outputs": [], @@ -148,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "id": "c98936a8", "metadata": {}, "outputs": [ @@ -159,35 +168,21 @@ "\n", "%3\n", "\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "\n", "\n", - "\n", + "\n", "CheckOut\n", - "\n", - "\n", - "CheckOut\n", + "\n", + "\n", + "CheckOut\n", "\n", "\n", "\n", - "\n", - "\n", - "CheckIn->CheckOut\n", - "\n", - "\n", "\n", "\n", "Room\n", "\n", - "\n", - "Room\n", + "\n", + "Room\n", "\n", "\n", "\n", @@ -195,57 +190,71 @@ "\n", "RoomAvailable\n", "\n", - "\n", - "RoomAvailable\n", + "\n", + "RoomAvailable\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Room->RoomAvailable\n", - "\n", + "\n", "\n", - "\n", - "\n", - "Guest\n", - "\n", - "\n", - "Guest\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", "\n", "\n", "\n", + "\n", + "\n", + "CheckIn->CheckOut\n", + "\n", + "\n", "\n", - "\n", + "\n", "Reservation\n", - "\n", - "\n", - "Reservation\n", + "\n", + "\n", + "Reservation\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Guest->Reservation\n", - "\n", + "Reservation->CheckIn\n", + "\n", "\n", "\n", "\n", "RoomAvailable->Reservation\n", - "\n", + "\n", "\n", - "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", "\n", - "Reservation->CheckIn\n", - "\n", + "Guest->Reservation\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -264,7 +273,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "id": "64060872", "metadata": {}, "outputs": [], @@ -278,7 +287,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "id": "281c8ca7", "metadata": {}, "outputs": [], @@ -289,7 +298,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "id": "86bc4436", "metadata": {}, "outputs": [ @@ -297,7 +306,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 45/45 [00:02<00:00, 20.91it/s]\n" + "100%|██████████| 45/45 [00:01<00:00, 23.68it/s]\n" ] } ], @@ -325,7 +334,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 12, "id": "48470620", "metadata": {}, "outputs": [], @@ -340,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 13, "id": "5603309c", "metadata": {}, "outputs": [], @@ -368,7 +377,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 14, "id": "fd3b9e30", "metadata": {}, "outputs": [], @@ -384,7 +393,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "id": "09e340e2", "metadata": {}, "outputs": [], diff --git a/db-course/004-DatabaseNations.ipynb b/db-course/004-DatabaseNations.ipynb index 936dfe5..8f25a8b 100644 --- a/db-course/004-DatabaseNations.ipynb +++ b/db-course/004-DatabaseNations.ipynb @@ -9,9 +9,18 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sql extension is already loaded. To reload it, use:\n", + " %reload_ext sql\n" + ] + } + ], "source": [ "import pymysql\n", "pymysql.install_as_MySQLdb()\n", @@ -23,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -140,7 +149,7 @@ "[]" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } diff --git a/db-course/004-DatabaseSales.ipynb b/db-course/004-DatabaseSales.ipynb index ec33049..f4f465e 100644 --- a/db-course/004-DatabaseSales.ipynb +++ b/db-course/004-DatabaseSales.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -24,7 +24,7 @@ "output_type": "stream", "text": [ " * mysql://root:***@127.0.0.1\n", - "3 rows affected.\n", + "0 rows affected.\n", "1 rows affected.\n", "0 rows affected.\n", "0 rows affected.\n", @@ -53,7 +53,7 @@ "[]" ] }, - "execution_count": 4, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } diff --git a/db-course/004-DatabaseUniversity.ipynb b/db-course/004-DatabaseUniversity.ipynb index f03d662..863d7a4 100644 --- a/db-course/004-DatabaseUniversity.ipynb +++ b/db-course/004-DatabaseUniversity.ipynb @@ -9,13 +9,22 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 1, "metadata": { "slideshow": { "slide_type": "subslide" } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-31 21:34:04,539][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-31 21:34:04,552][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "schema = dj.schema('university')" @@ -23,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -46,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -63,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -79,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -99,9 +108,9 @@ "\n", "\n", "\n", - "\n", + "\n", "StudentMajor\n", - "\n", + "\n", "\n", "StudentMajor\n", "\n", @@ -113,9 +122,9 @@ "\n", "\n", "\n", - "\n", + "\n", "Student\n", - "\n", + "\n", "\n", "Student\n", "\n", @@ -130,10 +139,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -144,7 +153,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 6, "metadata": { "slideshow": { "slide_type": "slide" @@ -211,164 +220,164 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Department\n", - "\n", - "\n", - "Department\n", + "Enroll\n", + "\n", + "\n", + "Enroll\n", "\n", "\n", "\n", - "\n", - "\n", - "StudentMajor\n", - "\n", - "\n", - "StudentMajor\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Department->StudentMajor\n", - "\n", + "Enroll->Grade\n", + "\n", "\n", "\n", - "\n", + "\n", "Course\n", - "\n", - "\n", - "Course\n", + "\n", + "\n", + "Course\n", "\n", "\n", "\n", - "\n", - "\n", - "Department->Course\n", - "\n", - "\n", - "\n", - "\n", - "LetterGrade\n", - "\n", - "\n", - "LetterGrade\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "Section\n", "\n", "\n", "\n", - "\n", - "\n", - "Grade\n", - "\n", - "\n", - "Grade\n", + "\n", + "\n", + "Course->Section\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "LetterGrade->Grade\n", - "\n", + "Department->Course\n", + "\n", "\n", - "\n", - "\n", - "Term\n", - "\n", - "\n", - "Term\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", "\n", "\n", "\n", - "\n", - "\n", - "Section\n", - "\n", - "\n", - "Section\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Section->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "Term\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Term->Section\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "CurrentTerm\n", - "\n", - "\n", - "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Term->CurrentTerm\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "Student\n", - "\n", - "\n", - "Student\n", + "\n", + "\n", + "Student\n", "\n", "\n", "\n", + "\n", + "\n", + "Student->Enroll\n", + "\n", + "\n", "\n", - "\n", + "\n", "Student->StudentMajor\n", - "\n", + "\n", "\n", - "\n", - "\n", - "Enroll\n", - "\n", - "\n", - "Enroll\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", "\n", "\n", "\n", - "\n", - "\n", - "Student->Enroll\n", - "\n", - "\n", - "\n", - "\n", - "Course->Section\n", - "\n", - "\n", - "\n", - "\n", - "Enroll->Grade\n", - "\n", - "\n", - "\n", + "\n", "\n", - "Section->Enroll\n", - "\n", + "LetterGrade->Grade\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -379,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -393,7 +402,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -424,7 +433,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -434,7 +443,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -527,114 +536,114 @@ " e.g. 414.657.6883x0881\n", " \n", " 100\n", - "Joseph\n", - "Zhang\n", - "M\n", - "2001-01-02\n", - "279 Rosales Cliff\n", - "Port Stephenborough\n", - "ND\n", - "12880\n", - "281-421-2992101\n", - "Chad\n", - "Gillespie\n", - "M\n", - "1998-05-10\n", - "0221 Scott Mission\n", - "West Jay\n", - "SD\n", - "23663\n", - "367.812.6252x85610102\n", - "Laura\n", - "Peterson\n", - "F\n", - "1995-09-08\n", - "8186 Martin Square Apt. 094\n", - "Gordonport\n", - "MH\n", - "27930\n", - "+1-717-434-6599x2291103\n", - "Xavier\n", - "Jones\n", - "M\n", - "2002-02-26\n", - "4352 Elijah Corner Suite 641\n", - "Richardshire\n", - "CO\n", - "14968\n", - "(553)733-9105x51636104\n", - "Kimberly\n", - "Hansen\n", - "F\n", - "2007-12-17\n", - "8503 Paul Port\n", - "Hugheschester\n", - "KS\n", - "84271\n", - "001-971-761-9372x069105\n", - "Joanna\n", - "Rojas\n", - "F\n", - "1994-01-14\n", - "4886 Hardy Coves Apt. 297\n", - "Chloeview\n", - "WV\n", - "34746\n", - "(557)800-7496106\n", - "Sarah\n", - "Greer\n", - "F\n", - "2006-01-25\n", - "57306 Brown Lights\n", - "Amandashire\n", - "HI\n", - "03643\n", - "367-226-8446x84376107\n", - "Shane\n", - "Raymond\n", - "M\n", - "1989-08-23\n", - "825 Stephen Dale\n", - "Richfort\n", - "ME\n", - "58044\n", - "(512)521-8342x97955108\n", - "Katie\n", - "Massey\n", + "Jordan\n", + "Roy\n", "F\n", - "2006-06-09\n", - "2209 Hancock Street Apt. 348\n", - "West Jefferyburgh\n", + "2003-01-26\n", + "328 Saunders Avenue\n", + "West Susanland\n", + "MI\n", + "25478\n", + "6826309566101\n", + "Luis\n", + "Griffin\n", + "M\n", + "1991-11-19\n", + "777 Kristin Stream\n", + "Port Timothy\n", + "NM\n", + "26753\n", + "+1-573-927-1122x7498102\n", + "Rhonda\n", + "Melton\n", + "F\n", + "1991-02-28\n", + "54424 Michael Flat\n", + "West Richard\n", "PW\n", - "33369\n", - "(252)763-8620x0811109\n", - "Jasmine\n", - "Crawford\n", + "35557\n", + "270.612.6710103\n", + "Rebecca\n", + "Rogers\n", + "F\n", + "2007-01-19\n", + "67607 Scott Motorway\n", + "Jasmineborough\n", + "ME\n", + "72148\n", + "+1-381-336-9496x243104\n", + "Bobby\n", + "Morgan\n", + "M\n", + "2000-08-03\n", + "546 Rodriguez Vista Suite 121\n", + "New Karentown\n", + "TX\n", + "42320\n", + "+1-754-585-3248x282105\n", + "Jennifer\n", + "Mitchell\n", "F\n", - "1994-10-18\n", - "45512 West Rapid Apt. 164\n", - "North Patrick\n", - "MI\n", - "43070\n", - "(809)348-5386x416110\n", - "Kevin\n", - "Peterson\n", - "M\n", - "2005-01-29\n", - "20568 King Inlet Suite 635\n", - "South Steven\n", - "IN\n", - "15195\n", - "818.327.9787111\n", - "Kelly\n", - "Hoffman\n", + "1992-11-04\n", + "2424 Philip Crest\n", + "Johnsonport\n", + "MS\n", + "16129\n", + "264.221.2688106\n", + "Angela\n", + "Gordon\n", "F\n", - "1991-12-16\n", - "587 Brooks Plaza Suite 371\n", - "Russellborough\n", - "WV\n", - "41026\n", - "293.925.2691x864 \n", + "1998-10-21\n", + "119 John Cove Apt. 577\n", + "Barbermouth\n", + "NC\n", + "87356\n", + "+1-939-793-8944x442107\n", + "Bradley\n", + "Henry\n", + "M\n", + "2001-03-09\n", + "2259 Klein Mountains\n", + "New John\n", + "VT\n", + "95089\n", + "8866328779108\n", + "Katrina\n", + "Bennett\n", + "F\n", + "2003-08-07\n", + "8486 Padilla Curve\n", + "Port Michael\n", + "IA\n", + "95792\n", + "+1-403-246-0298x8785109\n", + "Keith\n", + "Gates\n", + "M\n", + "1995-08-03\n", + "2909 Barker Overpass Suite 314\n", + "East Jeremy\n", + "UT\n", + "29772\n", + "743-717-2292x03200110\n", + "Destiny\n", + "Benjamin\n", + "F\n", + "2005-04-15\n", + "81809 Richards Squares\n", + "Gregorymouth\n", + "OR\n", + "57886\n", + "+1-366-248-6065x208111\n", + "Catherine\n", + "Moses\n", + "F\n", + "1996-08-11\n", + "37827 Carolyn Wells\n", + "Williamsonchester\n", + "NC\n", + "97844\n", + "716.464.4008x2146 \n", " \n", "

...

\n", "

Total: 200

\n", @@ -643,23 +652,23 @@ "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", - "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", - "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", - "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", - "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", - "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", - "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", - "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", - "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", - "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", - "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", - "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", + "100 Jordan Roy F 2003-01-26 328 Saunders A West Susanland MI 25478 6826309566 \n", + "101 Luis Griffin M 1991-11-19 777 Kristin St Port Timothy NM 26753 +1-573-927-112\n", + "102 Rhonda Melton F 1991-02-28 54424 Michael West Richard PW 35557 270.612.6710 \n", + "103 Rebecca Rogers F 2007-01-19 67607 Scott Mo Jasmineborough ME 72148 +1-381-336-949\n", + "104 Bobby Morgan M 2000-08-03 546 Rodriguez New Karentown TX 42320 +1-754-585-324\n", + "105 Jennifer Mitchell F 1992-11-04 2424 Philip Cr Johnsonport MS 16129 264.221.2688 \n", + "106 Angela Gordon F 1998-10-21 119 John Cove Barbermouth NC 87356 +1-939-793-894\n", + "107 Bradley Henry M 2001-03-09 2259 Klein Mou New John VT 95089 8866328779 \n", + "108 Katrina Bennett F 2003-08-07 8486 Padilla C Port Michael IA 95792 +1-403-246-029\n", + "109 Keith Gates M 1995-08-03 2909 Barker Ov East Jeremy UT 29772 743-717-2292x0\n", + "110 Destiny Benjamin F 2005-04-15 81809 Richards Gregorymouth OR 57886 +1-366-248-606\n", + "111 Catherine Moses F 1996-08-11 37827 Carolyn Williamsonches NC 97844 716.464.4008x2\n", " ...\n", " (Total: 200)" ] }, - "execution_count": 25, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -670,7 +679,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -688,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -700,7 +709,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -771,56 +780,56 @@ "

declare_date

\n", " when student declared her major\n", " \n", - " 101\n", + " 100\n", "MATH\n", - "1999-05-14102\n", - "PHYS\n", - "2006-05-23105\n", - "PHYS\n", - "2011-02-25106\n", + "2010-12-15102\n", + "BIOL\n", + "2020-04-28103\n", "MATH\n", - "2023-03-11108\n", + "2003-02-25104\n", "MATH\n", - "2009-11-15109\n", - "CS\n", - "2002-12-18110\n", + "2018-02-09105\n", "BIOL\n", - "2002-02-28111\n", + "2018-08-21106\n", + "PHYS\n", + "2016-03-05108\n", "BIOL\n", - "2017-08-24112\n", + "2018-07-28109\n", + "PHYS\n", + "2006-07-16110\n", "PHYS\n", - "2001-12-25113\n", + "2016-11-27112\n", "BIOL\n", - "2014-09-03114\n", + "2008-05-20113\n", "CS\n", - "2021-03-11115\n", - "PHYS\n", - "2020-10-19 \n", + "2016-11-06114\n", + "MATH\n", + "2005-02-18 \n", " \n", "

...

\n", - "

Total: 154

\n", + "

Total: 152

\n", " " ], "text/plain": [ "*student_id dept declare_date \n", "+------------+ +------+ +------------+\n", - "101 MATH 1999-05-14 \n", - "102 PHYS 2006-05-23 \n", - "105 PHYS 2011-02-25 \n", - "106 MATH 2023-03-11 \n", - "108 MATH 2009-11-15 \n", - "109 CS 2002-12-18 \n", - "110 BIOL 2002-02-28 \n", - "111 BIOL 2017-08-24 \n", - "112 PHYS 2001-12-25 \n", - "113 BIOL 2014-09-03 \n", - "114 CS 2021-03-11 \n", - "115 PHYS 2020-10-19 \n", + "100 MATH 2010-12-15 \n", + "102 BIOL 2020-04-28 \n", + "103 MATH 2003-02-25 \n", + "104 MATH 2018-02-09 \n", + "105 BIOL 2018-08-21 \n", + "106 PHYS 2016-03-05 \n", + "108 BIOL 2018-07-28 \n", + "109 PHYS 2006-07-16 \n", + "110 PHYS 2016-11-27 \n", + "112 BIOL 2008-05-20 \n", + "113 CS 2016-11-06 \n", + "114 MATH 2005-02-18 \n", " ...\n", - " (Total: 154)" + " (Total: 152)" ] }, - "execution_count": 28, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -831,7 +840,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -891,7 +900,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -918,7 +927,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -938,7 +947,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1040,7 +1049,7 @@ " (Total: 11)" ] }, - "execution_count": 32, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1051,14 +1060,14 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 200/200 [00:34<00:00, 5.85it/s]\n" + "100%|██████████| 200/200 [00:40<00:00, 4.96it/s]\n" ] } ], @@ -1080,7 +1089,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -1111,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -1203,29 +1212,59 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 134\n", - "Nicholas\n", - "Clark\n", + " 104\n", + "Bobby\n", + "Morgan\n", + "M\n", + "2000-08-03\n", + "546 Rodriguez Vista Suite 121\n", + "New Karentown\n", + "TX\n", + "42320\n", + "+1-754-585-3248x282151\n", + "Christopher\n", + "Jackson\n", "M\n", - "2005-10-01\n", - "88009 Deanna Station Suite 834\n", - "West Davidshire\n", + "1997-11-30\n", + "1344 Willis Crest\n", + "Mathewsshire\n", + "TX\n", + "02380\n", + "373-329-0653x45425154\n", + "Kathryn\n", + "Williams\n", + "F\n", + "1997-05-25\n", + "252 Wanda Harbors\n", + "Roblestown\n", + "TX\n", + "74304\n", + "752-407-8170x7030205\n", + "Kimberly\n", + "Johnson\n", + "F\n", + "2008-03-09\n", + "7814 Brian Plaza\n", + "West Nicole\n", "TX\n", - "41171\n", - "+1-402-506-4715 \n", + "27816\n", + "248-366-8432x9592 \n", " \n", " \n", - "

Total: 1

\n", + "

Total: 4

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "134 Nicholas Clark M 2005-10-01 88009 Deanna S West Davidshir TX 41171 +1-402-506-471\n", - " (Total: 1)" + "104 Bobby Morgan M 2000-08-03 546 Rodriguez New Karentown TX 42320 +1-754-585-324\n", + "151 Christopher Jackson M 1997-11-30 1344 Willis Cr Mathewsshire TX 02380 373-329-0653x4\n", + "154 Kathryn Williams F 1997-05-25 252 Wanda Harb Roblestown TX 74304 752-407-8170x7\n", + "205 Kimberly Johnson F 2008-03-09 7814 Brian Pla West Nicole TX 27816 248-366-8432x9\n", + " (Total: 4)" ] }, - "execution_count": 36, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1237,7 +1276,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1329,29 +1368,59 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 134\n", - "Nicholas\n", - "Clark\n", + " 104\n", + "Bobby\n", + "Morgan\n", + "M\n", + "2000-08-03\n", + "546 Rodriguez Vista Suite 121\n", + "New Karentown\n", + "TX\n", + "42320\n", + "+1-754-585-3248x282151\n", + "Christopher\n", + "Jackson\n", "M\n", - "2005-10-01\n", - "88009 Deanna Station Suite 834\n", - "West Davidshire\n", + "1997-11-30\n", + "1344 Willis Crest\n", + "Mathewsshire\n", + "TX\n", + "02380\n", + "373-329-0653x45425154\n", + "Kathryn\n", + "Williams\n", + "F\n", + "1997-05-25\n", + "252 Wanda Harbors\n", + "Roblestown\n", + "TX\n", + "74304\n", + "752-407-8170x7030205\n", + "Kimberly\n", + "Johnson\n", + "F\n", + "2008-03-09\n", + "7814 Brian Plaza\n", + "West Nicole\n", "TX\n", - "41171\n", - "+1-402-506-4715 \n", + "27816\n", + "248-366-8432x9592 \n", " \n", " \n", - "

Total: 1

\n", + "

Total: 4

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "134 Nicholas Clark M 2005-10-01 88009 Deanna S West Davidshir TX 41171 +1-402-506-471\n", - " (Total: 1)" + "104 Bobby Morgan M 2000-08-03 546 Rodriguez New Karentown TX 42320 +1-754-585-324\n", + "151 Christopher Jackson M 1997-11-30 1344 Willis Cr Mathewsshire TX 02380 373-329-0653x4\n", + "154 Kathryn Williams F 1997-05-25 252 Wanda Harb Roblestown TX 74304 752-407-8170x7\n", + "205 Kimberly Johnson F 2008-03-09 7814 Brian Pla West Nicole TX 27816 248-366-8432x9\n", + " (Total: 4)" ] }, - "execution_count": 37, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1362,7 +1431,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1454,140 +1523,140 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 100\n", - "Joseph\n", - "Zhang\n", - "M\n", - "2001-01-02\n", - "279 Rosales Cliff\n", - "Port Stephenborough\n", - "ND\n", - "12880\n", - "281-421-2992101\n", - "Chad\n", - "Gillespie\n", - "M\n", - "1998-05-10\n", - "0221 Scott Mission\n", - "West Jay\n", - "SD\n", - "23663\n", - "367.812.6252x85610103\n", - "Xavier\n", - "Jones\n", - "M\n", - "2002-02-26\n", - "4352 Elijah Corner Suite 641\n", - "Richardshire\n", - "CO\n", - "14968\n", - "(553)733-9105x51636107\n", - "Shane\n", - "Raymond\n", + " 101\n", + "Luis\n", + "Griffin\n", "M\n", - "1989-08-23\n", - "825 Stephen Dale\n", - "Richfort\n", - "ME\n", - "58044\n", - "(512)521-8342x97955110\n", - "Kevin\n", - "Peterson\n", + "1991-11-19\n", + "777 Kristin Stream\n", + "Port Timothy\n", + "NM\n", + "26753\n", + "+1-573-927-1122x7498107\n", + "Bradley\n", + "Henry\n", + "M\n", + "2001-03-09\n", + "2259 Klein Mountains\n", + "New John\n", + "VT\n", + "95089\n", + "8866328779109\n", + "Keith\n", + "Gates\n", + "M\n", + "1995-08-03\n", + "2909 Barker Overpass Suite 314\n", + "East Jeremy\n", + "UT\n", + "29772\n", + "743-717-2292x03200115\n", + "Gregg\n", + "Martinez\n", + "M\n", + "1999-11-02\n", + "4550 Torres Via Suite 368\n", + "New Peter\n", + "WA\n", + "25601\n", + "805-497-3473x8655116\n", + "Darrell\n", + "Williams\n", + "M\n", + "2001-04-16\n", + "8310 Tyler Mountain Suite 130\n", + "New Christian\n", + "SC\n", + "37869\n", + "001-391-364-6711117\n", + "Andrew\n", + "Hoover\n", "M\n", - "2005-01-29\n", - "20568 King Inlet Suite 635\n", - "South Steven\n", - "IN\n", - "15195\n", - "818.327.9787114\n", + "1994-10-30\n", + "0147 Miles Tunnel\n", + "Lake Jennifer\n", + "FM\n", + "73910\n", + "001-889-404-7668x714119\n", "Jeremy\n", - "Benton\n", - "M\n", - "1990-10-25\n", - "25556 Robertson Flats\n", - "North John\n", - "AK\n", - "44145\n", - "(690)759-5744x16317119\n", - "Chase\n", - "Johnson\n", - "M\n", - "2005-09-03\n", - "202 Burgess Crossing\n", - "North Justin\n", - "OK\n", - "96035\n", - "+1-620-999-6880x3575123\n", - "William\n", - "Rodgers\n", - "M\n", - "2000-04-12\n", - "90264 Madeline Junction\n", - "Deckerton\n", - "WV\n", - "19442\n", - "321.336.4131125\n", - "Derrick\n", - "Stone\n", - "M\n", - "2004-11-26\n", - "111 Brian Radial\n", - "Hernandezhaven\n", - "MS\n", - "54548\n", - "(545)591-8164x804127\n", - "Mr.\n", - "Michael\n", - "M\n", - "2000-09-08\n", - "5247 Lindsey Inlet Suite 685\n", - "Ayalashire\n", - "OH\n", - "55972\n", - "001-730-783-9938x244128\n", - "Lee\n", - "Smith\n", + "Jones\n", "M\n", - "2007-07-17\n", - "979 Stephens Lights\n", - "Ritashire\n", - "RI\n", - "64958\n", - "(499)729-4623x98736130\n", + "2006-07-20\n", + "07975 Adams Viaduct Apt. 921\n", + "Ericksonshire\n", + "WA\n", + "78996\n", + "914.524.1366120\n", "Andrew\n", - "Smith\n", + "Kelly\n", + "M\n", + "2003-09-04\n", + "6991 Martinez Grove Apt. 504\n", + "Greerbury\n", + "MI\n", + "20913\n", + "(894)650-2939x52028121\n", + "Shannon\n", + "Campbell\n", + "M\n", + "2006-09-20\n", + "7399 James Valley Apt. 637\n", + "Jensenview\n", + "PA\n", + "38660\n", + "(525)740-8550122\n", + "Jason\n", + "Hudson\n", + "M\n", + "1999-06-27\n", + "61276 Hines Wells\n", + "Melanieview\n", + "MI\n", + "67378\n", + "+1-894-564-3945x069123\n", + "Christopher\n", + "Walters\n", "M\n", - "2000-02-11\n", - "92107 Molly Centers Apt. 489\n", - "East Colleen\n", + "1999-01-04\n", + "906 Kim Vista Suite 820\n", + "Jenniferburgh\n", + "KS\n", + "20193\n", + "245.697.6223x93388126\n", + "Maxwell\n", + "Lopez\n", + "M\n", + "1999-09-25\n", + "3276 Miller Fork\n", + "Malikhaven\n", "NH\n", - "23041\n", - "632.937.6442x3243 \n", + "79031\n", + "001-538-414-0111x220 \n", " \n", "

...

\n", - "

Total: 93

\n", + "

Total: 107

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", - "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", - "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", - "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", - "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", - "114 Jeremy Benton M 1990-10-25 25556 Robertso North John AK 44145 (690)759-5744x\n", - "119 Chase Johnson M 2005-09-03 202 Burgess Cr North Justin OK 96035 +1-620-999-688\n", - "123 William Rodgers M 2000-04-12 90264 Madeline Deckerton WV 19442 321.336.4131 \n", - "125 Derrick Stone M 2004-11-26 111 Brian Radi Hernandezhaven MS 54548 (545)591-8164x\n", - "127 Mr. Michael M 2000-09-08 5247 Lindsey I Ayalashire OH 55972 001-730-783-99\n", - "128 Lee Smith M 2007-07-17 979 Stephens L Ritashire RI 64958 (499)729-4623x\n", - "130 Andrew Smith M 2000-02-11 92107 Molly Ce East Colleen NH 23041 632.937.6442x3\n", + "101 Luis Griffin M 1991-11-19 777 Kristin St Port Timothy NM 26753 +1-573-927-112\n", + "107 Bradley Henry M 2001-03-09 2259 Klein Mou New John VT 95089 8866328779 \n", + "109 Keith Gates M 1995-08-03 2909 Barker Ov East Jeremy UT 29772 743-717-2292x0\n", + "115 Gregg Martinez M 1999-11-02 4550 Torres Vi New Peter WA 25601 805-497-3473x8\n", + "116 Darrell Williams M 2001-04-16 8310 Tyler Mou New Christian SC 37869 001-391-364-67\n", + "117 Andrew Hoover M 1994-10-30 0147 Miles Tun Lake Jennifer FM 73910 001-889-404-76\n", + "119 Jeremy Jones M 2006-07-20 07975 Adams Vi Ericksonshire WA 78996 914.524.1366 \n", + "120 Andrew Kelly M 2003-09-04 6991 Martinez Greerbury MI 20913 (894)650-2939x\n", + "121 Shannon Campbell M 2006-09-20 7399 James Val Jensenview PA 38660 (525)740-8550 \n", + "122 Jason Hudson M 1999-06-27 61276 Hines We Melanieview MI 67378 +1-894-564-394\n", + "123 Christopher Walters M 1999-01-04 906 Kim Vista Jenniferburgh KS 20193 245.697.6223x9\n", + "126 Maxwell Lopez M 1999-09-25 3276 Miller Fo Malikhaven NH 79031 001-538-414-01\n", " ...\n", - " (Total: 93)" + " (Total: 107)" ] }, - "execution_count": 38, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1599,7 +1668,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1691,99 +1760,129 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 115\n", - "Phyllis\n", - "Morales\n", - "F\n", - "2001-03-08\n", - "0179 Krystal Camp Apt. 810\n", - "Tylerfurt\n", - "OK\n", - "13833\n", - "497-544-8639x753117\n", - "Veronica\n", - "Murphy\n", - "F\n", - "1999-10-16\n", - "6152 David Harbors\n", - "Diazhaven\n", - "OK\n", - "72047\n", - "(930)510-0172x216119\n", - "Chase\n", - "Johnson\n", - "M\n", - "2005-09-03\n", - "202 Burgess Crossing\n", - "North Justin\n", - "OK\n", - "96035\n", - "+1-620-999-6880x3575126\n", - "Michelle\n", - "Mcdonald\n", - "F\n", - "2003-07-22\n", - "5251 Nguyen Rapid\n", - "Nicoleburgh\n", - "OK\n", - "33776\n", - "743.614.0026134\n", - "Nicholas\n", - "Clark\n", + " 101\n", + "Luis\n", + "Griffin\n", "M\n", - "2005-10-01\n", - "88009 Deanna Station Suite 834\n", - "West Davidshire\n", + "1991-11-19\n", + "777 Kristin Stream\n", + "Port Timothy\n", + "NM\n", + "26753\n", + "+1-573-927-1122x7498104\n", + "Bobby\n", + "Morgan\n", + "M\n", + "2000-08-03\n", + "546 Rodriguez Vista Suite 121\n", + "New Karentown\n", "TX\n", - "41171\n", - "+1-402-506-4715186\n", - "Steven\n", - "Nelson\n", + "42320\n", + "+1-754-585-3248x282151\n", + "Christopher\n", + "Jackson\n", "M\n", - "1996-09-29\n", - "99590 Harris Village Suite 580\n", - "North Victorborough\n", - "OK\n", - "70973\n", - "726-258-3012264\n", - "Alison\n", - "Lambert\n", - "F\n", - "2007-12-31\n", - "35399 Wilson Manors Suite 149\n", - "North Williamside\n", + "1997-11-30\n", + "1344 Willis Crest\n", + "Mathewsshire\n", + "TX\n", + "02380\n", + "373-329-0653x45425152\n", + "Gary\n", + "Kelley\n", + "M\n", + "2006-08-18\n", + "468 Latoya Trail\n", + "Jameston\n", + "NM\n", + "74191\n", + "225-953-0926154\n", + "Kathryn\n", + "Williams\n", + "F\n", + "1997-05-25\n", + "252 Wanda Harbors\n", + "Roblestown\n", + "TX\n", + "74304\n", + "752-407-8170x7030182\n", + "Matthew\n", + "Garcia\n", + "M\n", + "1996-04-28\n", + "222 Becker Shoals\n", + "Sanchezshire\n", "OK\n", - "11190\n", - "+1-914-282-1821x171283\n", - "Andrea\n", - "Maddox\n", + "71879\n", + "001-238-556-4867205\n", + "Kimberly\n", + "Johnson\n", "F\n", - "2001-08-09\n", - "3715 Smith Course\n", - "Donnaside\n", + "2008-03-09\n", + "7814 Brian Plaza\n", + "West Nicole\n", + "TX\n", + "27816\n", + "248-366-8432x9592211\n", + "David\n", + "Robinson\n", + "M\n", + "1990-02-18\n", + "02562 Stephanie Groves Suite 222\n", + "Oconnorfurt\n", "NM\n", - "03379\n", - "(404)935-2847x7302 \n", + "06795\n", + "(792)937-7966x38758214\n", + "Nicole\n", + "Reynolds\n", + "F\n", + "2003-02-07\n", + "5758 Robert Land\n", + "Lake Travis\n", + "OK\n", + "65089\n", + "600-895-2572x051223\n", + "Michael\n", + "Weber\n", + "M\n", + "1990-10-31\n", + "8285 Ramirez Pines Suite 214\n", + "Terrimouth\n", + "OK\n", + "55298\n", + "+1-355-488-7233x224239\n", + "Zachary\n", + "Hall\n", + "M\n", + "2003-05-01\n", + "10744 Jennifer Knolls Apt. 238\n", + "Davisland\n", + "OK\n", + "50295\n", + "(677)243-0795x36598 \n", " \n", " \n", - "

Total: 8

\n", + "

Total: 11

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "115 Phyllis Morales F 2001-03-08 0179 Krystal C Tylerfurt OK 13833 497-544-8639x7\n", - "117 Veronica Murphy F 1999-10-16 6152 David Har Diazhaven OK 72047 (930)510-0172x\n", - "119 Chase Johnson M 2005-09-03 202 Burgess Cr North Justin OK 96035 +1-620-999-688\n", - "126 Michelle Mcdonald F 2003-07-22 5251 Nguyen Ra Nicoleburgh OK 33776 743.614.0026 \n", - "134 Nicholas Clark M 2005-10-01 88009 Deanna S West Davidshir TX 41171 +1-402-506-471\n", - "186 Steven Nelson M 1996-09-29 99590 Harris V North Victorbo OK 70973 726-258-3012 \n", - "264 Alison Lambert F 2007-12-31 35399 Wilson M North Williams OK 11190 +1-914-282-182\n", - "283 Andrea Maddox F 2001-08-09 3715 Smith Cou Donnaside NM 03379 (404)935-2847x\n", - " (Total: 8)" + "101 Luis Griffin M 1991-11-19 777 Kristin St Port Timothy NM 26753 +1-573-927-112\n", + "104 Bobby Morgan M 2000-08-03 546 Rodriguez New Karentown TX 42320 +1-754-585-324\n", + "151 Christopher Jackson M 1997-11-30 1344 Willis Cr Mathewsshire TX 02380 373-329-0653x4\n", + "152 Gary Kelley M 2006-08-18 468 Latoya Tra Jameston NM 74191 225-953-0926 \n", + "154 Kathryn Williams F 1997-05-25 252 Wanda Harb Roblestown TX 74304 752-407-8170x7\n", + "182 Matthew Garcia M 1996-04-28 222 Becker Sho Sanchezshire OK 71879 001-238-556-48\n", + "205 Kimberly Johnson F 2008-03-09 7814 Brian Pla West Nicole TX 27816 248-366-8432x9\n", + "211 David Robinson M 1990-02-18 02562 Stephani Oconnorfurt NM 06795 (792)937-7966x\n", + "214 Nicole Reynolds F 2003-02-07 5758 Robert La Lake Travis OK 65089 600-895-2572x0\n", + "223 Michael Weber M 1990-10-31 8285 Ramirez P Terrimouth OK 55298 +1-355-488-723\n", + "239 Zachary Hall M 2003-05-01 10744 Jennifer Davisland OK 50295 (677)243-0795x\n", + " (Total: 11)" ] }, - "execution_count": 39, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1795,7 +1894,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -1805,16 +1904,7 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "millennials" - ] - }, - { - "cell_type": "code", - "execution_count": 41, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1906,152 +1996,151 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 100\n", - "Joseph\n", - "Zhang\n", - "M\n", - "2001-01-02\n", - "279 Rosales Cliff\n", - "Port Stephenborough\n", - "ND\n", - "12880\n", - "281-421-2992101\n", - "Chad\n", - "Gillespie\n", + " 101\n", + "Luis\n", + "Griffin\n", "M\n", - "1998-05-10\n", - "0221 Scott Mission\n", - "West Jay\n", - "SD\n", - "23663\n", - "367.812.6252x85610102\n", - "Laura\n", - "Peterson\n", - "F\n", - "1995-09-08\n", - "8186 Martin Square Apt. 094\n", - "Gordonport\n", - "MH\n", - "27930\n", - "+1-717-434-6599x2291105\n", - "Joanna\n", - "Rojas\n", + "1991-11-19\n", + "777 Kristin Stream\n", + "Port Timothy\n", + "NM\n", + "26753\n", + "+1-573-927-1122x7498102\n", + "Rhonda\n", + "Melton\n", + "F\n", + "1991-02-28\n", + "54424 Michael Flat\n", + "West Richard\n", + "PW\n", + "35557\n", + "270.612.6710105\n", + "Jennifer\n", + "Mitchell\n", "F\n", - "1994-01-14\n", - "4886 Hardy Coves Apt. 297\n", - "Chloeview\n", - "WV\n", - "34746\n", - "(557)800-7496106\n", - "Sarah\n", - "Greer\n", + "1992-11-04\n", + "2424 Philip Crest\n", + "Johnsonport\n", + "MS\n", + "16129\n", + "264.221.2688109\n", + "Keith\n", + "Gates\n", + "M\n", + "1995-08-03\n", + "2909 Barker Overpass Suite 314\n", + "East Jeremy\n", + "UT\n", + "29772\n", + "743-717-2292x03200111\n", + "Catherine\n", + "Moses\n", + "F\n", + "1996-08-11\n", + "37827 Carolyn Wells\n", + "Williamsonchester\n", + "NC\n", + "97844\n", + "716.464.4008x2146113\n", + "Karen\n", + "Daniel\n", "F\n", - "2006-01-25\n", - "57306 Brown Lights\n", - "Amandashire\n", - "HI\n", - "03643\n", - "367-226-8446x84376107\n", - "Shane\n", - "Raymond\n", + "1996-05-21\n", + "92322 Bailey Valleys Apt. 263\n", + "Wendyberg\n", + "KS\n", + "55048\n", + "+1-236-576-8707x878117\n", + "Andrew\n", + "Hoover\n", "M\n", - "1989-08-23\n", - "825 Stephen Dale\n", - "Richfort\n", - "ME\n", - "58044\n", - "(512)521-8342x97955109\n", - "Jasmine\n", - "Crawford\n", - "F\n", - "1994-10-18\n", - "45512 West Rapid Apt. 164\n", - "North Patrick\n", - "MI\n", - "43070\n", - "(809)348-5386x416111\n", - "Kelly\n", - "Hoffman\n", - "F\n", - "1991-12-16\n", - "587 Brooks Plaza Suite 371\n", - "Russellborough\n", - "WV\n", - "41026\n", - "293.925.2691x864112\n", - "Alicia\n", - "Olson\n", - "F\n", - "1995-07-26\n", - "8944 Hood Highway\n", - "Mooremouth\n", - "KY\n", - "20754\n", - "989-331-9747x659113\n", - "Katie\n", - "Davis\n", + "1994-10-30\n", + "0147 Miles Tunnel\n", + "Lake Jennifer\n", + "FM\n", + "73910\n", + "001-889-404-7668x714124\n", + "Brianna\n", + "Jones\n", "F\n", - "1999-12-15\n", - "843 Thomas Lane Suite 599\n", - "Matthewton\n", - "IN\n", - "62019\n", - "001-506-288-6610114\n", - "Jeremy\n", - "Benton\n", + "1994-02-19\n", + "640 Boyd Parkways\n", + "Crystalmouth\n", + "ID\n", + "59060\n", + "(644)384-4085x9816127\n", + "Danielle\n", + "Gould\n", + "F\n", + "1996-08-11\n", + "972 George Prairie\n", + "Deniseport\n", + "NJ\n", + "27306\n", + "615-935-9425x0807130\n", + "Raymond\n", + "Martinez\n", + "M\n", + "1996-09-13\n", + "77927 Ethan Row Suite 800\n", + "Fieldsberg\n", + "GA\n", + "97279\n", + "8698203619135\n", + "Cody\n", + "Moran\n", + "M\n", + "1995-12-26\n", + "17651 Mark Ways\n", + "Jordanberg\n", + "CT\n", + "61463\n", + "+1-437-661-2153x491136\n", + "Steven\n", + "Ramsey\n", "M\n", - "1990-10-25\n", - "25556 Robertson Flats\n", - "North John\n", - "AK\n", - "44145\n", - "(690)759-5744x16317115\n", - "Phyllis\n", - "Morales\n", - "F\n", - "2001-03-08\n", - "0179 Krystal Camp Apt. 810\n", - "Tylerfurt\n", - "OK\n", - "13833\n", - "497-544-8639x753 \n", + "1994-09-11\n", + "970 Donna Court\n", + "West Justintown\n", + "PW\n", + "77529\n", + "(771)499-4334 \n", " \n", "

...

\n", - "

Total: 173

\n", + "

Total: 78

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", - "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", - "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", - "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", - "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", - "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", - "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", - "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", - "112 Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6\n", - "113 Katie Davis F 1999-12-15 843 Thomas Lan Matthewton IN 62019 001-506-288-66\n", - "114 Jeremy Benton M 1990-10-25 25556 Robertso North John AK 44145 (690)759-5744x\n", - "115 Phyllis Morales F 2001-03-08 0179 Krystal C Tylerfurt OK 13833 497-544-8639x7\n", + "101 Luis Griffin M 1991-11-19 777 Kristin St Port Timothy NM 26753 +1-573-927-112\n", + "102 Rhonda Melton F 1991-02-28 54424 Michael West Richard PW 35557 270.612.6710 \n", + "105 Jennifer Mitchell F 1992-11-04 2424 Philip Cr Johnsonport MS 16129 264.221.2688 \n", + "109 Keith Gates M 1995-08-03 2909 Barker Ov East Jeremy UT 29772 743-717-2292x0\n", + "111 Catherine Moses F 1996-08-11 37827 Carolyn Williamsonches NC 97844 716.464.4008x2\n", + "113 Karen Daniel F 1996-05-21 92322 Bailey V Wendyberg KS 55048 +1-236-576-870\n", + "117 Andrew Hoover M 1994-10-30 0147 Miles Tun Lake Jennifer FM 73910 001-889-404-76\n", + "124 Brianna Jones F 1994-02-19 640 Boyd Parkw Crystalmouth ID 59060 (644)384-4085x\n", + "127 Danielle Gould F 1996-08-11 972 George Pra Deniseport NJ 27306 615-935-9425x0\n", + "130 Raymond Martinez M 1996-09-13 77927 Ethan Ro Fieldsberg GA 97279 8698203619 \n", + "135 Cody Moran M 1995-12-26 17651 Mark Way Jordanberg CT 61463 +1-437-661-215\n", + "136 Steven Ramsey M 1994-09-11 970 Donna Cour West Justintow PW 77529 (771)499-4334 \n", " ...\n", - " (Total: 173)" + " (Total: 78)" ] }, - "execution_count": 41, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Students who have taken classes\n", - "Student & Enroll" + "millennials" ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2143,71 +2232,152 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 143\n", - "Tony\n", - "Simpson\n", - "M\n", - "1991-09-10\n", - "0901 Angela Parks\n", - "South Angelahaven\n", - "MD\n", - "06465\n", - "+1-822-459-3634x513176\n", - "Jessica\n", - "Hunter\n", + " 100\n", + "Jordan\n", + "Roy\n", "F\n", - "1995-08-19\n", - "6459 Walker Fall Apt. 683\n", - "Susanstad\n", - "NC\n", - "58056\n", - "945.328.8843x523244\n", - "Christopher\n", - "Evans\n", - "M\n", - "1989-09-29\n", - "680 Dominique Circle Apt. 075\n", - "Lake Anthony\n", - "MD\n", - "81162\n", - "001-577-610-6402294\n", - "Tracy\n", - "Jackson\n", + "2003-01-26\n", + "328 Saunders Avenue\n", + "West Susanland\n", + "MI\n", + "25478\n", + "6826309566101\n", + "Luis\n", + "Griffin\n", + "M\n", + "1991-11-19\n", + "777 Kristin Stream\n", + "Port Timothy\n", + "NM\n", + "26753\n", + "+1-573-927-1122x7498102\n", + "Rhonda\n", + "Melton\n", + "F\n", + "1991-02-28\n", + "54424 Michael Flat\n", + "West Richard\n", + "PW\n", + "35557\n", + "270.612.6710103\n", + "Rebecca\n", + "Rogers\n", + "F\n", + "2007-01-19\n", + "67607 Scott Motorway\n", + "Jasmineborough\n", + "ME\n", + "72148\n", + "+1-381-336-9496x243105\n", + "Jennifer\n", + "Mitchell\n", "F\n", - "1990-12-07\n", - "6490 Schultz Crossroad Apt. 222\n", - "Dickersonmouth\n", - "VI\n", - "02009\n", - "001-788-751-5451 \n", + "1992-11-04\n", + "2424 Philip Crest\n", + "Johnsonport\n", + "MS\n", + "16129\n", + "264.221.2688106\n", + "Angela\n", + "Gordon\n", + "F\n", + "1998-10-21\n", + "119 John Cove Apt. 577\n", + "Barbermouth\n", + "NC\n", + "87356\n", + "+1-939-793-8944x442107\n", + "Bradley\n", + "Henry\n", + "M\n", + "2001-03-09\n", + "2259 Klein Mountains\n", + "New John\n", + "VT\n", + "95089\n", + "8866328779108\n", + "Katrina\n", + "Bennett\n", + "F\n", + "2003-08-07\n", + "8486 Padilla Curve\n", + "Port Michael\n", + "IA\n", + "95792\n", + "+1-403-246-0298x8785109\n", + "Keith\n", + "Gates\n", + "M\n", + "1995-08-03\n", + "2909 Barker Overpass Suite 314\n", + "East Jeremy\n", + "UT\n", + "29772\n", + "743-717-2292x03200110\n", + "Destiny\n", + "Benjamin\n", + "F\n", + "2005-04-15\n", + "81809 Richards Squares\n", + "Gregorymouth\n", + "OR\n", + "57886\n", + "+1-366-248-6065x208111\n", + "Catherine\n", + "Moses\n", + "F\n", + "1996-08-11\n", + "37827 Carolyn Wells\n", + "Williamsonchester\n", + "NC\n", + "97844\n", + "716.464.4008x2146112\n", + "Sandra\n", + "Kelley\n", + "F\n", + "2005-06-17\n", + "1181 Clark Plains Apt. 191\n", + "North Sherryburgh\n", + "AS\n", + "47330\n", + "476.572.7761x230 \n", " \n", - " \n", - "

Total: 4

\n", + "

...

\n", + "

Total: 172

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "143 Tony Simpson M 1991-09-10 0901 Angela Pa South Angelaha MD 06465 +1-822-459-363\n", - "176 Jessica Hunter F 1995-08-19 6459 Walker Fa Susanstad NC 58056 945.328.8843x5\n", - "244 Christopher Evans M 1989-09-29 680 Dominique Lake Anthony MD 81162 001-577-610-64\n", - "294 Tracy Jackson F 1990-12-07 6490 Schultz C Dickersonmouth VI 02009 001-788-751-54\n", - " (Total: 4)" + "100 Jordan Roy F 2003-01-26 328 Saunders A West Susanland MI 25478 6826309566 \n", + "101 Luis Griffin M 1991-11-19 777 Kristin St Port Timothy NM 26753 +1-573-927-112\n", + "102 Rhonda Melton F 1991-02-28 54424 Michael West Richard PW 35557 270.612.6710 \n", + "103 Rebecca Rogers F 2007-01-19 67607 Scott Mo Jasmineborough ME 72148 +1-381-336-949\n", + "105 Jennifer Mitchell F 1992-11-04 2424 Philip Cr Johnsonport MS 16129 264.221.2688 \n", + "106 Angela Gordon F 1998-10-21 119 John Cove Barbermouth NC 87356 +1-939-793-894\n", + "107 Bradley Henry M 2001-03-09 2259 Klein Mou New John VT 95089 8866328779 \n", + "108 Katrina Bennett F 2003-08-07 8486 Padilla C Port Michael IA 95792 +1-403-246-029\n", + "109 Keith Gates M 1995-08-03 2909 Barker Ov East Jeremy UT 29772 743-717-2292x0\n", + "110 Destiny Benjamin F 2005-04-15 81809 Richards Gregorymouth OR 57886 +1-366-248-606\n", + "111 Catherine Moses F 1996-08-11 37827 Carolyn Williamsonches NC 97844 716.464.4008x2\n", + "112 Sandra Kelley F 2005-06-17 1181 Clark Pla North Sherrybu AS 47330 476.572.7761x2\n", + " ...\n", + " (Total: 172)" ] }, - "execution_count": 42, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Millenials who have never enrolled\n", - "millennials - Enroll" + "# Students who have taken classes\n", + "Student & Enroll" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2299,152 +2469,121 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 103\n", - "Xavier\n", - "Jones\n", + " 159\n", + "Gary\n", + "Bell\n", "M\n", - "2002-02-26\n", - "4352 Elijah Corner Suite 641\n", - "Richardshire\n", - "CO\n", - "14968\n", - "(553)733-9105x51636104\n", - "Kimberly\n", - "Hansen\n", - "F\n", - "2007-12-17\n", - "8503 Paul Port\n", - "Hugheschester\n", - "KS\n", - "84271\n", - "001-971-761-9372x069108\n", - "Katie\n", - "Massey\n", - "F\n", - "2006-06-09\n", - "2209 Hancock Street Apt. 348\n", - "West Jefferyburgh\n", + "1990-04-12\n", + "12358 Orr Spring Apt. 648\n", + "Jenniferside\n", "PW\n", - "33369\n", - "(252)763-8620x0811110\n", - "Kevin\n", - "Peterson\n", - "M\n", - "2005-01-29\n", - "20568 King Inlet Suite 635\n", - "South Steven\n", - "IN\n", - "15195\n", - "818.327.9787143\n", - "Tony\n", - "Simpson\n", - "M\n", - "1991-09-10\n", - "0901 Angela Parks\n", - "South Angelahaven\n", - "MD\n", - "06465\n", - "+1-822-459-3634x513156\n", - "Anthony\n", - "Gordon\n", + "72056\n", + "+1-210-213-1590x503164\n", + "Michael\n", + "Campbell\n", "M\n", - "2008-07-08\n", - "1328 Herring Shoal Suite 523\n", - "Stricklandborough\n", - "PA\n", - "74301\n", - "001-672-628-0271x956157\n", - "Kimberly\n", - "Jordan\n", - "F\n", - "1997-05-13\n", - "340 Turner Roads Apt. 851\n", - "Colemanside\n", - "DE\n", - "37391\n", - "(970)772-7907163\n", - "Kristi\n", - "Wilson\n", - "F\n", - "2007-08-26\n", - "724 Clark Harbor Suite 584\n", - "New Lisa\n", - "MT\n", - "22201\n", - "+1-880-597-3483x2464167\n", - "Amy\n", - "Watson\n", - "F\n", - "2006-03-05\n", - "916 Dickson Orchard Apt. 446\n", - "Laurenside\n", + "1988-11-11\n", + "000 Gonzalez Ville\n", + "Harrisstad\n", "NJ\n", - "18957\n", - "(926)650-8280x785176\n", - "Jessica\n", - "Hunter\n", - "F\n", - "1995-08-19\n", - "6459 Walker Fall Apt. 683\n", - "Susanstad\n", - "NC\n", - "58056\n", - "945.328.8843x523179\n", - "Stephen\n", - "Baker\n", - "M\n", - "2008-08-12\n", - "318 Burke Gateway Apt. 889\n", - "Port Alexandriatown\n", - "MP\n", - "15131\n", - "+1-363-811-9980185\n", - "Connor\n", - "Parker\n", + "94771\n", + "609-661-1877165\n", + "Donna\n", + "Valdez\n", + "F\n", + "1990-12-31\n", + "15800 Clark Branch Suite 089\n", + "Smithport\n", + "PR\n", + "70502\n", + "207.249.7876x43833200\n", + "Ryan\n", + "Butler\n", "M\n", - "2006-01-01\n", - "493 Carroll Wall\n", - "New Brent\n", - "WY\n", - "19949\n", - "(920)303-3647x344 \n", + "1990-12-07\n", + "53510 Schaefer Crest Apt. 831\n", + "West Brianview\n", + "KY\n", + "37100\n", + "662.488.5373212\n", + "Marie\n", + "Jensen\n", + "F\n", + "1994-06-20\n", + "2176 Lori Ferry\n", + "Johnborough\n", + "VT\n", + "08649\n", + "712.471.0726x5033217\n", + "Travis\n", + "Burns\n", + "M\n", + "1992-07-14\n", + "574 Mccoy Passage Apt. 671\n", + "West Johnhaven\n", + "MS\n", + "45598\n", + "(434)616-9677x203228\n", + "Angela\n", + "Miller\n", + "F\n", + "1989-04-15\n", + "53016 Miller Fort Apt. 962\n", + "Lake Stacy\n", + "NE\n", + "23528\n", + "570-682-8086236\n", + "Brady\n", + "Hayes\n", + "M\n", + "1993-04-13\n", + "946 Kevin Creek\n", + "North Markborough\n", + "IN\n", + "87319\n", + "(920)655-5330296\n", + "Edward\n", + "Reilly\n", + "M\n", + "1995-09-21\n", + "398 Davis Turnpike\n", + "Leeburgh\n", + "PW\n", + "66797\n", + "729-815-6617 \n", " \n", - "

...

\n", - "

Total: 27

\n", + " \n", + "

Total: 9

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", - "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", - "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", - "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", - "143 Tony Simpson M 1991-09-10 0901 Angela Pa South Angelaha MD 06465 +1-822-459-363\n", - "156 Anthony Gordon M 2008-07-08 1328 Herring S Stricklandboro PA 74301 001-672-628-02\n", - "157 Kimberly Jordan F 1997-05-13 340 Turner Roa Colemanside DE 37391 (970)772-7907 \n", - "163 Kristi Wilson F 2007-08-26 724 Clark Harb New Lisa MT 22201 +1-880-597-348\n", - "167 Amy Watson F 2006-03-05 916 Dickson Or Laurenside NJ 18957 (926)650-8280x\n", - "176 Jessica Hunter F 1995-08-19 6459 Walker Fa Susanstad NC 58056 945.328.8843x5\n", - "179 Stephen Baker M 2008-08-12 318 Burke Gate Port Alexandri MP 15131 +1-363-811-998\n", - "185 Connor Parker M 2006-01-01 493 Carroll Wa New Brent WY 19949 (920)303-3647x\n", - " ...\n", - " (Total: 27)" + "159 Gary Bell M 1990-04-12 12358 Orr Spri Jenniferside PW 72056 +1-210-213-159\n", + "164 Michael Campbell M 1988-11-11 000 Gonzalez V Harrisstad NJ 94771 609-661-1877 \n", + "165 Donna Valdez F 1990-12-31 15800 Clark Br Smithport PR 70502 207.249.7876x4\n", + "200 Ryan Butler M 1990-12-07 53510 Schaefer West Brianview KY 37100 662.488.5373 \n", + "212 Marie Jensen F 1994-06-20 2176 Lori Ferr Johnborough VT 08649 712.471.0726x5\n", + "217 Travis Burns M 1992-07-14 574 Mccoy Pass West Johnhaven MS 45598 (434)616-9677x\n", + "228 Angela Miller F 1989-04-15 53016 Miller F Lake Stacy NE 23528 570-682-8086 \n", + "236 Brady Hayes M 1993-04-13 946 Kevin Cree North Markboro IN 87319 (920)655-5330 \n", + "296 Edward Reilly M 1995-09-21 398 Davis Turn Leeburgh PW 66797 729-815-6617 \n", + " (Total: 9)" ] }, - "execution_count": 43, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Students who have not taken classes\n", - "Student - Enroll" + "# Millenials who have never enrolled\n", + "millennials - Enroll" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2536,152 +2675,152 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 116\n", - "Jennifer\n", - "Dixon\n", - "F\n", - "2003-11-22\n", - "091 Johnson Corners Apt. 490\n", - "South Shirleyborough\n", - "CO\n", - "93907\n", - "279-582-4940x0814123\n", - "William\n", - "Rodgers\n", + " 104\n", + "Bobby\n", + "Morgan\n", "M\n", - "2000-04-12\n", - "90264 Madeline Junction\n", - "Deckerton\n", - "WV\n", - "19442\n", - "321.336.4131132\n", - "Eduardo\n", - "Salazar\n", - "M\n", - "1998-02-14\n", - "7551 Fuller Well\n", - "New Louis\n", - "MS\n", - "82665\n", - "(339)952-2521x17040136\n", - "Latoya\n", - "Monroe\n", - "F\n", - "1992-06-25\n", - "42143 Rachel Prairie Suite 361\n", - "Cainburgh\n", - "NH\n", - "64649\n", - "777.263.6298138\n", - "Aaron\n", + "2000-08-03\n", + "546 Rodriguez Vista Suite 121\n", + "New Karentown\n", + "TX\n", + "42320\n", + "+1-754-585-3248x282115\n", + "Gregg\n", + "Martinez\n", + "M\n", + "1999-11-02\n", + "4550 Torres Via Suite 368\n", + "New Peter\n", + "WA\n", + "25601\n", + "805-497-3473x8655119\n", + "Jeremy\n", "Jones\n", "M\n", - "1995-04-04\n", - "80133 Martinez Bypass Suite 837\n", - "Elizabethberg\n", - "PW\n", - "94321\n", - "(993)964-3108x081140\n", - "Teresa\n", - "Thornton\n", - "F\n", - "2000-10-31\n", - "972 Morgan Spurs Apt. 970\n", - "Lake Michaelbury\n", - "WY\n", - "94641\n", - "394-488-6882x305141\n", - "Kimberly\n", - "Miller\n", - "F\n", - "1994-04-25\n", - "917 Denise Parkways Suite 171\n", - "Calderonchester\n", - "FL\n", - "69035\n", - "379.632.4508x7961151\n", - "Jacqueline\n", - "Smith\n", - "F\n", - "2001-04-15\n", - "7199 Baker Light Apt. 368\n", - "Mooreport\n", - "CO\n", - "90892\n", - "001-723-255-7672153\n", - "Samuel\n", - "Reyes\n", + "2006-07-20\n", + "07975 Adams Viaduct Apt. 921\n", + "Ericksonshire\n", + "WA\n", + "78996\n", + "914.524.1366121\n", + "Shannon\n", + "Campbell\n", + "M\n", + "2006-09-20\n", + "7399 James Valley Apt. 637\n", + "Jensenview\n", + "PA\n", + "38660\n", + "(525)740-8550134\n", + "Christopher\n", + "Garcia\n", "M\n", - "2001-05-11\n", - "254 Mark Way\n", - "Whitneyview\n", - "HI\n", - "53142\n", - "273-795-9329x084154\n", + "2001-09-18\n", + "246 Breanna Forges Suite 371\n", + "Webbbury\n", + "IN\n", + "98054\n", + "(862)872-7013141\n", + "Michael\n", "Mitchell\n", - "Wallace\n", "M\n", - "1989-10-07\n", - "21421 Susan Burgs\n", - "Jamesborough\n", - "NV\n", - "36141\n", - "564-722-2494x1742159\n", - "Briana\n", - "Wood\n", - "F\n", - "2008-01-11\n", - "74886 Linda Circle\n", - "Jeffstad\n", - "CO\n", - "83806\n", - "(914)413-8240x9050168\n", - "Juan\n", - "Thomas\n", + "2006-10-12\n", + "61423 Hunter Dam\n", + "North Joshua\n", + "MS\n", + "78973\n", + "(555)481-4418x3517155\n", + "Adam\n", + "Glover\n", + "M\n", + "2007-04-23\n", + "201 Sydney Points Suite 756\n", + "Lake Antonio\n", + "PR\n", + "78259\n", + "(857)204-3851x8670159\n", + "Gary\n", + "Bell\n", + "M\n", + "1990-04-12\n", + "12358 Orr Spring Apt. 648\n", + "Jenniferside\n", + "PW\n", + "72056\n", + "+1-210-213-1590x503164\n", + "Michael\n", + "Campbell\n", "M\n", - "2003-07-24\n", - "5059 Brittany Mountain\n", - "South Michael\n", - "AS\n", - "02603\n", - "001-797-980-3635 \n", + "1988-11-11\n", + "000 Gonzalez Ville\n", + "Harrisstad\n", + "NJ\n", + "94771\n", + "609-661-1877165\n", + "Donna\n", + "Valdez\n", + "F\n", + "1990-12-31\n", + "15800 Clark Branch Suite 089\n", + "Smithport\n", + "PR\n", + "70502\n", + "207.249.7876x43833192\n", + "Joshua\n", + "Sanchez\n", + "M\n", + "2008-03-17\n", + "97848 Brown Forges Suite 538\n", + "Lake Laurie\n", + "MO\n", + "39066\n", + "+1-645-316-4436198\n", + "Michael\n", + "Porter\n", + "M\n", + "1997-06-10\n", + "2238 Baker Drive Suite 933\n", + "South Edward\n", + "CO\n", + "33074\n", + "(507)210-8063x749 \n", " \n", "

...

\n", - "

Total: 36

\n", + "

Total: 28

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "116 Jennifer Dixon F 2003-11-22 091 Johnson Co South Shirleyb CO 93907 279-582-4940x0\n", - "123 William Rodgers M 2000-04-12 90264 Madeline Deckerton WV 19442 321.336.4131 \n", - "132 Eduardo Salazar M 1998-02-14 7551 Fuller We New Louis MS 82665 (339)952-2521x\n", - "136 Latoya Monroe F 1992-06-25 42143 Rachel P Cainburgh NH 64649 777.263.6298 \n", - "138 Aaron Jones M 1995-04-04 80133 Martinez Elizabethberg PW 94321 (993)964-3108x\n", - "140 Teresa Thornton F 2000-10-31 972 Morgan Spu Lake Michaelbu WY 94641 394-488-6882x3\n", - "141 Kimberly Miller F 1994-04-25 917 Denise Par Calderoncheste FL 69035 379.632.4508x7\n", - "151 Jacqueline Smith F 2001-04-15 7199 Baker Lig Mooreport CO 90892 001-723-255-76\n", - "153 Samuel Reyes M 2001-05-11 254 Mark Way Whitneyview HI 53142 273-795-9329x0\n", - "154 Mitchell Wallace M 1989-10-07 21421 Susan Bu Jamesborough NV 36141 564-722-2494x1\n", - "159 Briana Wood F 2008-01-11 74886 Linda Ci Jeffstad CO 83806 (914)413-8240x\n", - "168 Juan Thomas M 2003-07-24 5059 Brittany South Michael AS 02603 001-797-980-36\n", + "104 Bobby Morgan M 2000-08-03 546 Rodriguez New Karentown TX 42320 +1-754-585-324\n", + "115 Gregg Martinez M 1999-11-02 4550 Torres Vi New Peter WA 25601 805-497-3473x8\n", + "119 Jeremy Jones M 2006-07-20 07975 Adams Vi Ericksonshire WA 78996 914.524.1366 \n", + "121 Shannon Campbell M 2006-09-20 7399 James Val Jensenview PA 38660 (525)740-8550 \n", + "134 Christopher Garcia M 2001-09-18 246 Breanna Fo Webbbury IN 98054 (862)872-7013 \n", + "141 Michael Mitchell M 2006-10-12 61423 Hunter D North Joshua MS 78973 (555)481-4418x\n", + "155 Adam Glover M 2007-04-23 201 Sydney Poi Lake Antonio PR 78259 (857)204-3851x\n", + "159 Gary Bell M 1990-04-12 12358 Orr Spri Jenniferside PW 72056 +1-210-213-159\n", + "164 Michael Campbell M 1988-11-11 000 Gonzalez V Harrisstad NJ 94771 609-661-1877 \n", + "165 Donna Valdez F 1990-12-31 15800 Clark Br Smithport PR 70502 207.249.7876x4\n", + "192 Joshua Sanchez M 2008-03-17 97848 Brown Fo Lake Laurie MO 39066 +1-645-316-443\n", + "198 Michael Porter M 1997-06-10 2238 Baker Dri South Edward CO 33074 (507)210-8063x\n", " ...\n", - " (Total: 36)" + " (Total: 28)" ] }, - "execution_count": 44, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Students who have taken Biology classes but no MATH courses\n", - "(Student & (Enroll & 'dept=\"BIOL\"')) - (Enroll & 'dept=\"MATH\"')" + "# Students who have not taken classes\n", + "Student - Enroll" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -2773,152 +2912,152 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 100\n", - "Joseph\n", - "Zhang\n", - "M\n", - "2001-01-02\n", - "279 Rosales Cliff\n", - "Port Stephenborough\n", - "ND\n", - "12880\n", - "281-421-2992103\n", - "Xavier\n", - "Jones\n", - "M\n", - "2002-02-26\n", - "4352 Elijah Corner Suite 641\n", - "Richardshire\n", - "CO\n", - "14968\n", - "(553)733-9105x51636104\n", - "Kimberly\n", - "Hansen\n", - "F\n", - "2007-12-17\n", - "8503 Paul Port\n", - "Hugheschester\n", - "KS\n", - "84271\n", - "001-971-761-9372x069107\n", - "Shane\n", - "Raymond\n", - "M\n", - "1989-08-23\n", - "825 Stephen Dale\n", - "Richfort\n", - "ME\n", - "58044\n", - "(512)521-8342x97955116\n", - "Jennifer\n", - "Dixon\n", - "F\n", - "2003-11-22\n", - "091 Johnson Corners Apt. 490\n", - "South Shirleyborough\n", - "CO\n", - "93907\n", - "279-582-4940x0814120\n", - "Ashley\n", - "Brown\n", + " 131\n", + "Regina\n", + "Stevens\n", "F\n", - "1997-11-05\n", - "334 Castillo Junction Apt. 170\n", - "East John\n", + "2008-03-28\n", + "5535 Monica Run\n", + "New Davidfurt\n", "FM\n", - "15306\n", - "(540)763-7689121\n", - "Mary\n", - "Ray\n", - "F\n", - "1997-06-05\n", - "36798 Scott Dam\n", - "Tomland\n", - "VA\n", - "44505\n", - "001-218-619-3250x467125\n", - "Derrick\n", - "Stone\n", + "61403\n", + "001-642-944-8490133\n", + "Joann\n", + "Rhodes\n", + "F\n", + "2001-11-10\n", + "7747 Ford Cape\n", + "West Andrewland\n", + "IN\n", + "26601\n", + "477-404-0830x5778150\n", + "Carl\n", + "Hernandez\n", + "M\n", + "2001-05-31\n", + "395 Maria Alley\n", + "North Virginiatown\n", + "OH\n", + "05388\n", + "513.264.5124x544152\n", + "Gary\n", + "Kelley\n", + "M\n", + "2006-08-18\n", + "468 Latoya Trail\n", + "Jameston\n", + "NM\n", + "74191\n", + "225-953-0926161\n", + "Patricia\n", + "Williams\n", + "F\n", + "1991-08-25\n", + "859 John Cove\n", + "Rodriguezborough\n", + "IL\n", + "43598\n", + "5127074752163\n", + "Gabriel\n", + "Hamilton\n", + "M\n", + "2002-02-01\n", + "071 Carson Union\n", + "New Thomas\n", + "GA\n", + "86656\n", + "(486)759-7442x320213\n", + "Gregory\n", + "Farley\n", + "M\n", + "1989-03-30\n", + "472 Ashlee Circles\n", + "North Saramouth\n", + "WA\n", + "68135\n", + "755.273.4453215\n", + "Jon\n", + "Mora\n", + "M\n", + "1996-12-23\n", + "38159 Mary Place\n", + "Ashleyfurt\n", + "PA\n", + "21276\n", + "+1-291-400-4627x0887221\n", + "Kenneth\n", + "Sims\n", + "M\n", + "2005-09-22\n", + "97810 Andrea Locks\n", + "Port Loribury\n", + "IA\n", + "19088\n", + "505.239.9379x51533223\n", + "Michael\n", + "Weber\n", "M\n", - "2004-11-26\n", - "111 Brian Radial\n", - "Hernandezhaven\n", - "MS\n", - "54548\n", - "(545)591-8164x804126\n", - "Michelle\n", - "Mcdonald\n", - "F\n", - "2003-07-22\n", - "5251 Nguyen Rapid\n", - "Nicoleburgh\n", + "1990-10-31\n", + "8285 Ramirez Pines Suite 214\n", + "Terrimouth\n", "OK\n", - "33776\n", - "743.614.0026128\n", - "Lee\n", - "Smith\n", - "M\n", - "2007-07-17\n", - "979 Stephens Lights\n", - "Ritashire\n", - "RI\n", - "64958\n", - "(499)729-4623x98736141\n", - "Kimberly\n", - "Miller\n", + "55298\n", + "+1-355-488-7233x224224\n", + "Danielle\n", + "Murphy\n", "F\n", - "1994-04-25\n", - "917 Denise Parkways Suite 171\n", - "Calderonchester\n", - "FL\n", - "69035\n", - "379.632.4508x7961142\n", - "Daniel\n", - "Robinson\n", - "M\n", - "1997-12-28\n", - "359 Joseph Corner Suite 709\n", - "West Valeriefurt\n", - "DE\n", - "20224\n", - "001-295-458-6684x334 \n", + "1989-01-14\n", + "7458 Kimberly Village\n", + "Duaneborough\n", + "OH\n", + "16974\n", + "886-583-9979x61392235\n", + "Bryan\n", + "Myers\n", + "M\n", + "2002-11-03\n", + "90073 Brandi Island\n", + "Lake Travis\n", + "WV\n", + "31881\n", + "745-915-3558x801 \n", " \n", "

...

\n", - "

Total: 46

\n", + "

Total: 21

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", - "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", - "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", - "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", - "116 Jennifer Dixon F 2003-11-22 091 Johnson Co South Shirleyb CO 93907 279-582-4940x0\n", - "120 Ashley Brown F 1997-11-05 334 Castillo J East John FM 15306 (540)763-7689 \n", - "121 Mary Ray F 1997-06-05 36798 Scott Da Tomland VA 44505 001-218-619-32\n", - "125 Derrick Stone M 2004-11-26 111 Brian Radi Hernandezhaven MS 54548 (545)591-8164x\n", - "126 Michelle Mcdonald F 2003-07-22 5251 Nguyen Ra Nicoleburgh OK 33776 743.614.0026 \n", - "128 Lee Smith M 2007-07-17 979 Stephens L Ritashire RI 64958 (499)729-4623x\n", - "141 Kimberly Miller F 1994-04-25 917 Denise Par Calderoncheste FL 69035 379.632.4508x7\n", - "142 Daniel Robinson M 1997-12-28 359 Joseph Cor West Valeriefu DE 20224 001-295-458-66\n", + "131 Regina Stevens F 2008-03-28 5535 Monica Ru New Davidfurt FM 61403 001-642-944-84\n", + "133 Joann Rhodes F 2001-11-10 7747 Ford Cape West Andrewlan IN 26601 477-404-0830x5\n", + "150 Carl Hernandez M 2001-05-31 395 Maria Alle North Virginia OH 05388 513.264.5124x5\n", + "152 Gary Kelley M 2006-08-18 468 Latoya Tra Jameston NM 74191 225-953-0926 \n", + "161 Patricia Williams F 1991-08-25 859 John Cove Rodriguezborou IL 43598 5127074752 \n", + "163 Gabriel Hamilton M 2002-02-01 071 Carson Uni New Thomas GA 86656 (486)759-7442x\n", + "213 Gregory Farley M 1989-03-30 472 Ashlee Cir North Saramout WA 68135 755.273.4453 \n", + "215 Jon Mora M 1996-12-23 38159 Mary Pla Ashleyfurt PA 21276 +1-291-400-462\n", + "221 Kenneth Sims M 2005-09-22 97810 Andrea L Port Loribury IA 19088 505.239.9379x5\n", + "223 Michael Weber M 1990-10-31 8285 Ramirez P Terrimouth OK 55298 +1-355-488-723\n", + "224 Danielle Murphy F 1989-01-14 7458 Kimberly Duaneborough OH 16974 886-583-9979x6\n", + "235 Bryan Myers M 2002-11-03 90073 Brandi I Lake Travis WV 31881 745-915-3558x8\n", " ...\n", - " (Total: 46)" + " (Total: 21)" ] }, - "execution_count": 45, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Students who have not selected a major\n", - "Student - StudentMajor" + "# Students who have taken Biology classes but no MATH courses\n", + "(Student & (Enroll & 'dept=\"BIOL\"')) - (Enroll & 'dept=\"MATH\"')" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -3010,466 +3149,152 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 100\n", - "Joseph\n", - "Zhang\n", + " 101\n", + "Luis\n", + "Griffin\n", "M\n", - "2001-01-02\n", - "279 Rosales Cliff\n", - "Port Stephenborough\n", - "ND\n", - "12880\n", - "281-421-2992101\n", - "Chad\n", - "Gillespie\n", + "1991-11-19\n", + "777 Kristin Stream\n", + "Port Timothy\n", + "NM\n", + "26753\n", + "+1-573-927-1122x7498107\n", + "Bradley\n", + "Henry\n", + "M\n", + "2001-03-09\n", + "2259 Klein Mountains\n", + "New John\n", + "VT\n", + "95089\n", + "8866328779111\n", + "Catherine\n", + "Moses\n", + "F\n", + "1996-08-11\n", + "37827 Carolyn Wells\n", + "Williamsonchester\n", + "NC\n", + "97844\n", + "716.464.4008x2146118\n", + "Stephanie\n", + "Bernard\n", + "F\n", + "2007-04-30\n", + "6929 Laura Branch\n", + "Paynechester\n", + "NJ\n", + "98729\n", + "2292643896120\n", + "Andrew\n", + "Kelly\n", "M\n", - "1998-05-10\n", - "0221 Scott Mission\n", - "West Jay\n", - "SD\n", - "23663\n", - "367.812.6252x85610102\n", - "Laura\n", - "Peterson\n", - "F\n", - "1995-09-08\n", - "8186 Martin Square Apt. 094\n", - "Gordonport\n", - "MH\n", - "27930\n", - "+1-717-434-6599x2291103\n", - "Xavier\n", + "2003-09-04\n", + "6991 Martinez Grove Apt. 504\n", + "Greerbury\n", + "MI\n", + "20913\n", + "(894)650-2939x52028122\n", + "Jason\n", + "Hudson\n", + "M\n", + "1999-06-27\n", + "61276 Hines Wells\n", + "Melanieview\n", + "MI\n", + "67378\n", + "+1-894-564-3945x069124\n", + "Brianna\n", "Jones\n", - "M\n", - "2002-02-26\n", - "4352 Elijah Corner Suite 641\n", - "Richardshire\n", - "CO\n", - "14968\n", - "(553)733-9105x51636104\n", - "Kimberly\n", - "Hansen\n", - "F\n", - "2007-12-17\n", - "8503 Paul Port\n", - "Hugheschester\n", - "KS\n", - "84271\n", - "001-971-761-9372x069105\n", - "Joanna\n", - "Rojas\n", - "F\n", - "1994-01-14\n", - "4886 Hardy Coves Apt. 297\n", - "Chloeview\n", - "WV\n", - "34746\n", - "(557)800-7496106\n", - "Sarah\n", - "Greer\n", "F\n", - "2006-01-25\n", - "57306 Brown Lights\n", - "Amandashire\n", - "HI\n", - "03643\n", - "367-226-8446x84376107\n", - "Shane\n", + "1994-02-19\n", + "640 Boyd Parkways\n", + "Crystalmouth\n", + "ID\n", + "59060\n", + "(644)384-4085x9816128\n", + "Steven\n", + "Sutton\n", + "M\n", + "2005-11-11\n", + "46410 Dale Tunnel Apt. 352\n", + "South Samanthaton\n", + "TN\n", + "71881\n", + "801.205.8852x7765130\n", "Raymond\n", - "M\n", - "1989-08-23\n", - "825 Stephen Dale\n", - "Richfort\n", - "ME\n", - "58044\n", - "(512)521-8342x97955108\n", - "Katie\n", - "Massey\n", - "F\n", - "2006-06-09\n", - "2209 Hancock Street Apt. 348\n", - "West Jefferyburgh\n", - "PW\n", - "33369\n", - "(252)763-8620x0811109\n", - "Jasmine\n", - "Crawford\n", - "F\n", - "1994-10-18\n", - "45512 West Rapid Apt. 164\n", - "North Patrick\n", - "MI\n", - "43070\n", - "(809)348-5386x416110\n", - "Kevin\n", - "Peterson\n", - "M\n", - "2005-01-29\n", - "20568 King Inlet Suite 635\n", - "South Steven\n", - "IN\n", - "15195\n", - "818.327.9787112\n", - "Alicia\n", - "Olson\n", + "Martinez\n", + "M\n", + "1996-09-13\n", + "77927 Ethan Row Suite 800\n", + "Fieldsberg\n", + "GA\n", + "97279\n", + "8698203619139\n", + "Dawn\n", + "Carlson\n", "F\n", - "1995-07-26\n", - "8944 Hood Highway\n", - "Mooremouth\n", - "KY\n", - "20754\n", - "989-331-9747x659 \n", + "1988-11-09\n", + "955 Woodard Centers Suite 680\n", + "Barrettmouth\n", + "MP\n", + "38164\n", + "312-762-0284145\n", + "Brian\n", + "Singh\n", + "M\n", + "1997-09-14\n", + "417 Ross Island\n", + "Robinsonton\n", + "ND\n", + "94775\n", + "471.331.6608146\n", + "Sydney\n", + "Weber\n", + "F\n", + "2001-01-09\n", + "4670 Miller Junctions Suite 494\n", + "Russellport\n", + "LA\n", + "54092\n", + "+1-256-588-1993x731 \n", " \n", "

...

\n", - "

Total: 189

\n", + "

Total: 48

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", - "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", - "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", - "103 Xavier Jones M 2002-02-26 4352 Elijah Co Richardshire CO 14968 (553)733-9105x\n", - "104 Kimberly Hansen F 2007-12-17 8503 Paul Port Hugheschester KS 84271 001-971-761-93\n", - "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", - "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", - "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", - "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", - "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", - "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", - "112 Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6\n", + "101 Luis Griffin M 1991-11-19 777 Kristin St Port Timothy NM 26753 +1-573-927-112\n", + "107 Bradley Henry M 2001-03-09 2259 Klein Mou New John VT 95089 8866328779 \n", + "111 Catherine Moses F 1996-08-11 37827 Carolyn Williamsonches NC 97844 716.464.4008x2\n", + "118 Stephanie Bernard F 2007-04-30 6929 Laura Bra Paynechester NJ 98729 2292643896 \n", + "120 Andrew Kelly M 2003-09-04 6991 Martinez Greerbury MI 20913 (894)650-2939x\n", + "122 Jason Hudson M 1999-06-27 61276 Hines We Melanieview MI 67378 +1-894-564-394\n", + "124 Brianna Jones F 1994-02-19 640 Boyd Parkw Crystalmouth ID 59060 (644)384-4085x\n", + "128 Steven Sutton M 2005-11-11 46410 Dale Tun South Samantha TN 71881 801.205.8852x7\n", + "130 Raymond Martinez M 1996-09-13 77927 Ethan Ro Fieldsberg GA 97279 8698203619 \n", + "139 Dawn Carlson F 1988-11-09 955 Woodard Ce Barrettmouth MP 38164 312-762-0284 \n", + "145 Brian Singh M 1997-09-14 417 Ross Islan Robinsonton ND 94775 471.331.6608 \n", + "146 Sydney Weber F 2001-01-09 4670 Miller Ju Russellport LA 54092 +1-256-588-199\n", " ...\n", - " (Total: 189)" + " (Total: 48)" ] }, - "execution_count": 46, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Students who are taking courses in the current term\n", - "Student - (Enroll & CurrentTerm)" + "# Students who have not selected a major\n", + "Student - StudentMajor" ] }, { "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'SELECT `student_id`,`first_name`,`last_name`,`sex`,`date_of_birth`,`home_address`,`home_city`,`home_state`,`home_zip`,`home_phone` FROM `university`.`student` WHERE ((`student_id`) not in (SELECT `student_id` FROM `university`.`enroll` WHERE ((`term_year`,`term`) in (SELECT `term_year`,`term` FROM `university`.`current_term`))))'" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# show corresponding SQL\n", - "(Student - (Enroll & CurrentTerm)).make_sql()" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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course

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term_year

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\n", - " \n", - "
165BIOL10062004Springa
101BIOL10062007Falla
218BIOL10062007Falla
221BIOL10062011Falla
150BIOL10062013Springa
288BIOL10062014Fallc
249BIOL10062015Falla
200BIOL10102000Summerb
122BIOL10102000Fallb
100BIOL10102002Springc
251BIOL10102002Springc
206BIOL10102002Falla
\n", - "

...

\n", - "

Total: 252

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section \n", - "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+\n", - "165 BIOL 1006 2004 Spring a \n", - "101 BIOL 1006 2007 Fall a \n", - "218 BIOL 1006 2007 Fall a \n", - "221 BIOL 1006 2011 Fall a \n", - "150 BIOL 1006 2013 Spring a \n", - "288 BIOL 1006 2014 Fall c \n", - "249 BIOL 1006 2015 Fall a \n", - "200 BIOL 1010 2000 Summer b \n", - "122 BIOL 1010 2000 Fall b \n", - "100 BIOL 1010 2002 Spring c \n", - "251 BIOL 1010 2002 Spring c \n", - "206 BIOL 1010 2002 Fall a \n", - " ...\n", - " (Total: 252)" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Ungraded courses\n", - "Enroll - Grade" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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dept

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\n", - "

course

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term_year

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\n", - "

section

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207CS40002018Fallb
207PHYS20602018Fallb
\n", - " \n", - "

Total: 2

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section \n", - "+------------+ +------+ +--------+ +-----------+ +------+ +---------+\n", - "207 CS 4000 2018 Fall b \n", - "207 PHYS 2060 2018 Fall b \n", - " (Total: 2)" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Ungraded courses in the current term\n", - "(Enroll & CurrentTerm) - Grade" - ] - }, - { - "cell_type": "code", - "execution_count": 51, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -3561,2243 +3386,298 @@ "

home_phone

\n", " e.g. 414.657.6883x0881\n", " \n", - " 111\n", - "Kelly\n", - "Hoffman\n", - "F\n", - "1991-12-16\n", - "587 Brooks Plaza Suite 371\n", - "Russellborough\n", - "WV\n", - "41026\n", - "293.925.2691x864113\n", - "Katie\n", - "Davis\n", - "F\n", - "1999-12-15\n", - "843 Thomas Lane Suite 599\n", - "Matthewton\n", - "IN\n", - "62019\n", - "001-506-288-6610122\n", - "Dawn\n", - "Stewart\n", + " 100\n", + "Jordan\n", + "Roy\n", "F\n", - "2002-12-08\n", - "1076 Davis Roads\n", - "North Erika\n", - "MA\n", - "04467\n", - "001-342-622-1261x011123\n", - "William\n", - "Rodgers\n", - "M\n", - "2000-04-12\n", - "90264 Madeline Junction\n", - "Deckerton\n", - "WV\n", - "19442\n", - "321.336.4131124\n", + "2003-01-26\n", + "328 Saunders Avenue\n", + "West Susanland\n", + "MI\n", + "25478\n", + "6826309566101\n", + "Luis\n", + "Griffin\n", + "M\n", + "1991-11-19\n", + "777 Kristin Stream\n", + "Port Timothy\n", + "NM\n", + "26753\n", + "+1-573-927-1122x7498102\n", + "Rhonda\n", + "Melton\n", + "F\n", + "1991-02-28\n", + "54424 Michael Flat\n", + "West Richard\n", + "PW\n", + "35557\n", + "270.612.6710103\n", + "Rebecca\n", + "Rogers\n", + "F\n", + "2007-01-19\n", + "67607 Scott Motorway\n", + "Jasmineborough\n", + "ME\n", + "72148\n", + "+1-381-336-9496x243104\n", + "Bobby\n", + "Morgan\n", + "M\n", + "2000-08-03\n", + "546 Rodriguez Vista Suite 121\n", + "New Karentown\n", + "TX\n", + "42320\n", + "+1-754-585-3248x282105\n", "Jennifer\n", - "Allen\n", - "F\n", - "2007-07-11\n", - "27766 Patterson Course Suite 152\n", - "Hoffmanview\n", - "VT\n", - "87137\n", - "239.327.3583x3603127\n", - "Mr.\n", - "Michael\n", - "M\n", - "2000-09-08\n", - "5247 Lindsey Inlet Suite 685\n", - "Ayalashire\n", - "OH\n", - "55972\n", - "001-730-783-9938x244135\n", - "Kimberly\n", - "Wright\n", - "F\n", - "1990-11-11\n", - "146 Barrett Mission Suite 980\n", - "Port Robert\n", - "FL\n", - "24348\n", - "732-443-7126x5221136\n", - "Latoya\n", - "Monroe\n", + "Mitchell\n", "F\n", - "1992-06-25\n", - "42143 Rachel Prairie Suite 361\n", - "Cainburgh\n", - "NH\n", - "64649\n", - "777.263.6298140\n", - "Teresa\n", - "Thornton\n", + "1992-11-04\n", + "2424 Philip Crest\n", + "Johnsonport\n", + "MS\n", + "16129\n", + "264.221.2688106\n", + "Angela\n", + "Gordon\n", "F\n", - "2000-10-31\n", - "972 Morgan Spurs Apt. 970\n", - "Lake Michaelbury\n", - "WY\n", - "94641\n", - "394-488-6882x305154\n", - "Mitchell\n", - "Wallace\n", - "M\n", - "1989-10-07\n", - "21421 Susan Burgs\n", - "Jamesborough\n", - "NV\n", - "36141\n", - "564-722-2494x1742158\n", - "Steven\n", - "Zhang\n", - "M\n", - "2006-02-04\n", - "88235 Jennifer Ridges Suite 781\n", - "West Tonya\n", - "OH\n", - "52661\n", - "(674)481-2647x65226161\n", - "Anthony\n", - "Decker\n", - "M\n", - "2001-04-02\n", - "283 Dennis Rapids Apt. 573\n", - "New Tracistad\n", - "MP\n", - "53577\n", - "9077996542 \n", + "1998-10-21\n", + "119 John Cove Apt. 577\n", + "Barbermouth\n", + "NC\n", + "87356\n", + "+1-939-793-8944x442107\n", + "Bradley\n", + "Henry\n", + "M\n", + "2001-03-09\n", + "2259 Klein Mountains\n", + "New John\n", + "VT\n", + "95089\n", + "8866328779108\n", + "Katrina\n", + "Bennett\n", + "F\n", + "2003-08-07\n", + "8486 Padilla Curve\n", + "Port Michael\n", + "IA\n", + "95792\n", + "+1-403-246-0298x8785109\n", + "Keith\n", + "Gates\n", + "M\n", + "1995-08-03\n", + "2909 Barker Overpass Suite 314\n", + "East Jeremy\n", + "UT\n", + "29772\n", + "743-717-2292x03200110\n", + "Destiny\n", + "Benjamin\n", + "F\n", + "2005-04-15\n", + "81809 Richards Squares\n", + "Gregorymouth\n", + "OR\n", + "57886\n", + "+1-366-248-6065x208111\n", + "Catherine\n", + "Moses\n", + "F\n", + "1996-08-11\n", + "37827 Carolyn Wells\n", + "Williamsonchester\n", + "NC\n", + "97844\n", + "716.464.4008x2146 \n", " \n", "

...

\n", - "

Total: 134

\n", + "

Total: 177

\n", " " ], "text/plain": [ "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", - "113 Katie Davis F 1999-12-15 843 Thomas Lan Matthewton IN 62019 001-506-288-66\n", - "122 Dawn Stewart F 2002-12-08 1076 Davis Roa North Erika MA 04467 001-342-622-12\n", - "123 William Rodgers M 2000-04-12 90264 Madeline Deckerton WV 19442 321.336.4131 \n", - "124 Jennifer Allen F 2007-07-11 27766 Patterso Hoffmanview VT 87137 239.327.3583x3\n", - "127 Mr. Michael M 2000-09-08 5247 Lindsey I Ayalashire OH 55972 001-730-783-99\n", - "135 Kimberly Wright F 1990-11-11 146 Barrett Mi Port Robert FL 24348 732-443-7126x5\n", - "136 Latoya Monroe F 1992-06-25 42143 Rachel P Cainburgh NH 64649 777.263.6298 \n", - "140 Teresa Thornton F 2000-10-31 972 Morgan Spu Lake Michaelbu WY 94641 394-488-6882x3\n", - "154 Mitchell Wallace M 1989-10-07 21421 Susan Bu Jamesborough NV 36141 564-722-2494x1\n", - "158 Steven Zhang M 2006-02-04 88235 Jennifer West Tonya OH 52661 (674)481-2647x\n", - "161 Anthony Decker M 2001-04-02 283 Dennis Rap New Tracistad MP 53577 9077996542 \n", + "100 Jordan Roy F 2003-01-26 328 Saunders A West Susanland MI 25478 6826309566 \n", + "101 Luis Griffin M 1991-11-19 777 Kristin St Port Timothy NM 26753 +1-573-927-112\n", + "102 Rhonda Melton F 1991-02-28 54424 Michael West Richard PW 35557 270.612.6710 \n", + "103 Rebecca Rogers F 2007-01-19 67607 Scott Mo Jasmineborough ME 72148 +1-381-336-949\n", + "104 Bobby Morgan M 2000-08-03 546 Rodriguez New Karentown TX 42320 +1-754-585-324\n", + "105 Jennifer Mitchell F 1992-11-04 2424 Philip Cr Johnsonport MS 16129 264.221.2688 \n", + "106 Angela Gordon F 1998-10-21 119 John Cove Barbermouth NC 87356 +1-939-793-894\n", + "107 Bradley Henry M 2001-03-09 2259 Klein Mou New John VT 95089 8866328779 \n", + "108 Katrina Bennett F 2003-08-07 8486 Padilla C Port Michael IA 95792 +1-403-246-029\n", + "109 Keith Gates M 1995-08-03 2909 Barker Ov East Jeremy UT 29772 743-717-2292x0\n", + "110 Destiny Benjamin F 2005-04-15 81809 Richards Gregorymouth OR 57886 +1-366-248-606\n", + "111 Catherine Moses F 1996-08-11 37827 Carolyn Williamsonches NC 97844 716.464.4008x2\n", " ...\n", - " (Total: 134)" + " (Total: 177)" ] }, - "execution_count": 51, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Students who have taken classes and have chosen a major\n", - "(Student & Enroll & StudentMajor)" + "# Students who are taking courses in the current term\n", + "Student - (Enroll & CurrentTerm)" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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date_of_birth

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home_phone

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100JosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992
101ChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610
102LauraPetersonF1995-09-088186 Martin Square Apt. 094GordonportMH27930+1-717-434-6599x2291
105JoannaRojasF1994-01-144886 Hardy Coves Apt. 297ChloeviewWV34746(557)800-7496
106SarahGreerF2006-01-2557306 Brown LightsAmandashireHI03643367-226-8446x84376
107ShaneRaymondM1989-08-23825 Stephen DaleRichfortME58044(512)521-8342x97955
108KatieMasseyF2006-06-092209 Hancock Street Apt. 348West JefferyburghPW33369(252)763-8620x0811
109JasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416
110KevinPetersonM2005-01-2920568 King Inlet Suite 635South StevenIN15195818.327.9787
111KellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864
112AliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659
113KatieDavisF1999-12-15843 Thomas Lane Suite 599MatthewtonIN62019001-506-288-6610
\n", - "

...

\n", - "

Total: 193

\n", - " " - ], - "text/plain": [ - "*student_id first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone \n", - "+------------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+\n", - "100 Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 \n", - "101 Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8\n", - "102 Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659\n", - "105 Joanna Rojas F 1994-01-14 4886 Hardy Cov Chloeview WV 34746 (557)800-7496 \n", - "106 Sarah Greer F 2006-01-25 57306 Brown Li Amandashire HI 03643 367-226-8446x8\n", - "107 Shane Raymond M 1989-08-23 825 Stephen Da Richfort ME 58044 (512)521-8342x\n", - "108 Katie Massey F 2006-06-09 2209 Hancock S West Jefferybu PW 33369 (252)763-8620x\n", - "109 Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x\n", - "110 Kevin Peterson M 2005-01-29 20568 King Inl South Steven IN 15195 818.327.9787 \n", - "111 Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8\n", - "112 Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6\n", - "113 Katie Davis F 1999-12-15 843 Thomas Lan Matthewton IN 62019 001-506-288-66\n", - " ...\n", - " (Total: 193)" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Students who have taken classes or have chosen a major\n", - "Student & [Enroll, StudentMajor]" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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111BIOL10102018Falla
111BIOL24202018Falla
113BIOL22102015Springa
122BIOL10102000Fallb
122BIOL12101999Springa
122BIOL20102000Springa
122BIOL23551999Fallb
123BIOL22102003Summera
123BIOL23302003Springd
123BIOL24202003Falla
124BIOL10062004Summerd
124BIOL20202003Falla
\n", - "

...

\n", - "

Total: 515

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student_id

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dept

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course

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\n", - "

term_year

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\n", - "

term

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\n", - "

section

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\n", - "

grade

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\n", - "

points

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100CS45002002SummeraA4.00
100PHYS20602004SpringaA4.00
101CS38102008SpringbA4.00
101MATH12202007FallaA4.00
102MATH12602013SpringaA4.00
109BIOL10062013SummercA4.00
109BIOL10102013SpringaA4.00
111CS45002018SummeraA4.00
111PHYS20602018SummeraA4.00
112MATH22802006SpringcA4.00
112PHYS20402009SpringaA4.00
114PHYS20602012SpringaA4.00
\n", - "

...

\n", - "

Total: 2263

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section *grade points \n", - "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+ +--------+\n", - "100 CS 4500 2002 Summer a A 4.00 \n", - "100 PHYS 2060 2004 Spring a A 4.00 \n", - "101 CS 3810 2008 Spring b A 4.00 \n", - "101 MATH 1220 2007 Fall a A 4.00 \n", - "102 MATH 1260 2013 Spring a A 4.00 \n", - "109 BIOL 1006 2013 Summer c A 4.00 \n", - "109 BIOL 1010 2013 Spring a A 4.00 \n", - "111 CS 4500 2018 Summer a A 4.00 \n", - "111 PHYS 2060 2018 Summer a A 4.00 \n", - "112 MATH 2280 2006 Spring c A 4.00 \n", - "112 PHYS 2040 2009 Spring a A 4.00 \n", - "114 PHYS 2060 2012 Spring a A 4.00 \n", - " ...\n", - " (Total: 2263)" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Grade point values\n", - "Grade * LetterGrade" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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student_id

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dept

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\n", - "

course

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\n", - "

term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
\n", - "

section

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grade

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first_name

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last_name

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sex

\n", - " \n", - "
\n", - "

date_of_birth

\n", - " \n", - "
\n", - "

home_address

\n", - " mailing street address\n", - "
\n", - "

home_city

\n", - " mailing address\n", - "
\n", - "

home_state

\n", - " US state acronym: e.g. OH\n", - "
\n", - "

home_zip

\n", - " zipcode e.g. 93979-4979\n", - "
\n", - "

home_phone

\n", - " e.g. 414.657.6883x0881\n", - "
\n", - "

course_name

\n", - " e.g. \"Neurobiology of Sensation and Movement.\"\n", - "
\n", - "

credits

\n", - " number of credits earned by completing the course\n", - "
\n", - "

auditorium

\n", - " \n", - "
\n", - "

points

\n", - " \n", - "
100CS45002002SummeraAJosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992Senior Capstone Project3.0E64.00
100PHYS20602004SpringaAJosephZhangM2001-01-02279 Rosales CliffPort StephenboroughND12880281-421-2992Quantum Mechanics3.0A274.00
101CS38102008SpringbAChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610Computer Organization4.0C824.00
101MATH12202007FallaAChadGillespieM1998-05-100221 Scott MissionWest JaySD23663367.812.6252x85610Calculus II4.0B854.00
102MATH12602013SpringaALauraPetersonF1995-09-088186 Martin Square Apt. 094GordonportMH27930+1-717-434-6599x2291Calculus for AP Students II4.0B384.00
109BIOL10062013SummercAJasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416World of Dinosaurs3.0B944.00
109BIOL10102013SpringaAJasmineCrawfordF1994-10-1845512 West Rapid Apt. 164North PatrickMI43070(809)348-5386x416Biology in the 21st Century3.0B924.00
111CS45002018SummeraAKellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864Senior Capstone Project3.0A434.00
111PHYS20602018SummeraAKellyHoffmanF1991-12-16587 Brooks Plaza Suite 371RussellboroughWV41026293.925.2691x864Quantum Mechanics3.0D54.00
112MATH22802006SpringcAAliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659Introduction to Differential Equations4.0F844.00
112PHYS20402009SpringaAAliciaOlsonF1995-07-268944 Hood HighwayMooremouthKY20754989-331-9747x659Classcal Theoretical Physics II4.0F634.00
114PHYS20602012SpringaAJeremyBentonM1990-10-2525556 Robertson FlatsNorth JohnAK44145(690)759-5744x16317Quantum Mechanics3.0E204.00
\n", - "

...

\n", - "

Total: 2263

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section *grade first_name last_name sex date_of_birth home_address home_city home_state home_zip home_phone course_name credits auditorium points \n", - "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+ +------------+ +-----------+ +-----+ +------------+ +------------+ +------------+ +------------+ +----------+ +------------+ +------------+ +---------+ +------------+ +--------+\n", - "100 CS 4500 2002 Summer a A Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 Senior Capston 3.0 E6 4.00 \n", - "100 PHYS 2060 2004 Spring a A Joseph Zhang M 2001-01-02 279 Rosales Cl Port Stephenbo ND 12880 281-421-2992 Quantum Mechan 3.0 A27 4.00 \n", - "101 CS 3810 2008 Spring b A Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8 Computer Organ 4.0 C82 4.00 \n", - "101 MATH 1220 2007 Fall a A Chad Gillespie M 1998-05-10 0221 Scott Mis West Jay SD 23663 367.812.6252x8 Calculus II 4.0 B85 4.00 \n", - "102 MATH 1260 2013 Spring a A Laura Peterson F 1995-09-08 8186 Martin Sq Gordonport MH 27930 +1-717-434-659 Calculus for A 4.0 B38 4.00 \n", - "109 BIOL 1006 2013 Summer c A Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x World of Dinos 3.0 B94 4.00 \n", - "109 BIOL 1010 2013 Spring a A Jasmine Crawford F 1994-10-18 45512 West Rap North Patrick MI 43070 (809)348-5386x Biology in the 3.0 B92 4.00 \n", - "111 CS 4500 2018 Summer a A Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8 Senior Capston 3.0 A43 4.00 \n", - "111 PHYS 2060 2018 Summer a A Kelly Hoffman F 1991-12-16 587 Brooks Pla Russellborough WV 41026 293.925.2691x8 Quantum Mechan 3.0 D5 4.00 \n", - "112 MATH 2280 2006 Spring c A Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6 Introduction t 4.0 F84 4.00 \n", - "112 PHYS 2040 2009 Spring a A Alicia Olson F 1995-07-26 8944 Hood High Mooremouth KY 20754 989-331-9747x6 Classcal Theor 4.0 F63 4.00 \n", - "114 PHYS 2060 2012 Spring a A Jeremy Benton M 1990-10-25 25556 Robertso North John AK 44145 (690)759-5744x Quantum Mechan 3.0 E20 4.00 \n", - " ...\n", - " (Total: 2263)" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Graded enrollments with complete course and student information\n", - "Student * Enroll * Course * Section * Grade * LetterGrade" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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dept

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course

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\n", - "

term

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major

\n", - " abbreviated department name, e.g. BIOL\n", - "
111BIOL10102018FallaBIOL
111BIOL24202018FallaBIOL
111CS44002018SummercBIOL
111CS45002018SummeraBIOL
111MATH32202018FallaBIOL
111PHYS20402018SummeraBIOL
111PHYS20602018SummeraBIOL
113BIOL22102015SpringaBIOL
113MATH12202014FallaBIOL
113MATH22102014FallaBIOL
113MATH32102014FallaBIOL
122BIOL10102000FallbBIOL
\n", - "

...

\n", - "

Total: 1980

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section major \n", - "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+\n", - "111 BIOL 1010 2018 Fall a BIOL \n", - "111 BIOL 2420 2018 Fall a BIOL \n", - "111 CS 4400 2018 Summer c BIOL \n", - "111 CS 4500 2018 Summer a BIOL \n", - "111 MATH 3220 2018 Fall a BIOL \n", - "111 PHYS 2040 2018 Summer a BIOL \n", - "111 PHYS 2060 2018 Summer a BIOL \n", - "113 BIOL 2210 2015 Spring a BIOL \n", - "113 MATH 1220 2014 Fall a BIOL \n", - "113 MATH 2210 2014 Fall a BIOL \n", - "113 MATH 3210 2014 Fall a BIOL \n", - "122 BIOL 1010 2000 Fall b BIOL \n", - " ...\n", - " (Total: 1980)" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Enrollment with major information\n", - "Enroll * StudentMajor.proj(major='dept')" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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student_id

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dept

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course

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term_year

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\n", - "

term

\n", - " \n", - "
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major

\n", - " abbreviated department name, e.g. BIOL\n", - "
111CS44002018SummercBIOL
111CS45002018SummeraBIOL
111MATH32202018FallaBIOL
111PHYS20402018SummeraBIOL
111PHYS20602018SummeraBIOL
113MATH12202014FallaBIOL
113MATH22102014FallaBIOL
113MATH32102014FallaBIOL
122CS10301999SpringaBIOL
122CS31002000SummeraBIOL
122CS32002000SpringaBIOL
122CS44002000SpringaBIOL
\n", - "

...

\n", - "

Total: 1465

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section major \n", - "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+ +-------+\n", - "111 CS 4400 2018 Summer c BIOL \n", - "111 CS 4500 2018 Summer a BIOL \n", - "111 MATH 3220 2018 Fall a BIOL \n", - "111 PHYS 2040 2018 Summer a BIOL \n", - "111 PHYS 2060 2018 Summer a BIOL \n", - "113 MATH 1220 2014 Fall a BIOL \n", - "113 MATH 2210 2014 Fall a BIOL \n", - "113 MATH 3210 2014 Fall a BIOL \n", - "122 CS 1030 1999 Spring a BIOL \n", - "122 CS 3100 2000 Summer a BIOL \n", - "122 CS 3200 2000 Spring a BIOL \n", - "122 CS 4400 2000 Spring a BIOL \n", - " ...\n", - " (Total: 1465)" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Enrollment outside chosen major\n", - "Enroll * StudentMajor.proj(major='dept') & 'major<>dept'" + "# show corresponding SQL\n", + "(Student - (Enroll & CurrentTerm)).make_sql()" ] }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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dept

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course

\n", - " course number, e.g. 1010\n", - "
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term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
\n", - "

section

\n", - " \n", - "
151BIOL10061999Summera
125BIOL10061999Fallc
105BIOL10062001Springb
117BIOL10062001Springd
137BIOL10062001Springd
200BIOL10062001Springd
229BIOL10062002Springb
289BIOL10062002Summera
115BIOL10062003Springa
235BIOL10062003Springa
299BIOL10062003Springa
165BIOL10062004Springa
\n", - "

...

\n", - "

Total: 2000

\n", - " " - ], - "text/plain": [ - "*student_id *dept *course *term_year *term *section \n", - "+------------+ +------+ +--------+ +-----------+ +--------+ +---------+\n", - "151 BIOL 1006 1999 Summer a \n", - "125 BIOL 1006 1999 Fall c \n", - "105 BIOL 1006 2001 Spring b \n", - "117 BIOL 1006 2001 Spring d \n", - "137 BIOL 1006 2001 Spring d \n", - "200 BIOL 1006 2001 Spring d \n", - "229 BIOL 1006 2002 Spring b \n", - "289 BIOL 1006 2002 Summer a \n", - "115 BIOL 1006 2003 Spring a \n", - "235 BIOL 1006 2003 Spring a \n", - "299 BIOL 1006 2003 Spring a \n", - "165 BIOL 1006 2004 Spring a \n", - " ...\n", - " (Total: 2000)" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Enrollment not matching major \n", - "Enroll - StudentMajor " + "# Ungraded courses\n", + "Enroll - Grade" ] }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

course

\n", - " course number, e.g. 1010\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
\n", - "

section

\n", - " \n", - "
\n", - "

grade

\n", - " \n", - "
\n", - "

total

\n", - " calculated attribute\n", - "
CS45001002002SummeraA12.000
PHYS20601002004SpringaA12.000
CS38101012008SpringbA16.000
MATH12201012007FallaA16.000
MATH12601022013SpringaA16.000
BIOL10061092013SummercA12.000
BIOL10101092013SpringaA12.000
CS45001112018SummeraA12.000
PHYS20601112018SummeraA12.000
MATH22801122006SpringcA16.000
PHYS20401122009SpringaA16.000
PHYS20601142012SpringaA12.000
\n", - "

...

\n", - "

Total: 2263

\n", - " " - ], - "text/plain": [ - "*dept *course *student_id *term_year *term *section *grade total \n", - "+------+ +--------+ +------------+ +-----------+ +--------+ +---------+ +-------+ +--------+\n", - "CS 4500 100 2002 Summer a A 12.000 \n", - "PHYS 2060 100 2004 Spring a A 12.000 \n", - "CS 3810 101 2008 Spring b A 16.000 \n", - "MATH 1220 101 2007 Fall a A 16.000 \n", - "MATH 1260 102 2013 Spring a A 16.000 \n", - "BIOL 1006 109 2013 Summer c A 12.000 \n", - "BIOL 1010 109 2013 Spring a A 12.000 \n", - "CS 4500 111 2018 Summer a A 12.000 \n", - "PHYS 2060 111 2018 Summer a A 12.000 \n", - "MATH 2280 112 2006 Spring c A 16.000 \n", - "PHYS 2040 112 2009 Spring a A 16.000 \n", - "PHYS 2060 114 2012 Spring a A 12.000 \n", - " ...\n", - " (Total: 2263)" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], + "source": [ + "# Ungraded courses in the current term\n", + "(Enroll & CurrentTerm) - Grade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ - "# Total grade points\n", - "(Course * Grade * LetterGrade).proj(total='points*credits')" + "# Students who have taken classes and have chosen a major\n", + "(Student & Enroll & StudentMajor)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Students who have taken classes or have chosen a major\n", + "Student & [Enroll, StudentMajor]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment in courses from the same department as the students' major\n", + "Enroll & StudentMajor" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Aggr" + "## Join" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

course

\n", - " course number, e.g. 1010\n", - "
\n", - "

term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
\n", - "

section

\n", - " \n", - "
\n", - "

n

\n", - " calculated attribute\n", - "
BIOL10061999Summera1
BIOL10061999Fallc2
BIOL10062001Springb1
BIOL10062001Springd3
BIOL10062002Springa1
BIOL10062002Springb2
BIOL10062002Summera1
BIOL10062003Springa3
BIOL10062004Springa3
BIOL10062004Springb1
BIOL10062004Summerd2
BIOL10062004Falla3
\n", - "

...

\n", - "

Total: 1544

\n", - " " - ], - "text/plain": [ - "*dept *course *term_year *term *section n \n", - "+------+ +--------+ +-----------+ +--------+ +---------+ +---+\n", - "BIOL 1006 1999 Summer a 1 \n", - "BIOL 1006 1999 Fall c 2 \n", - "BIOL 1006 2001 Spring b 1 \n", - "BIOL 1006 2001 Spring d 3 \n", - "BIOL 1006 2002 Spring a 1 \n", - "BIOL 1006 2002 Spring b 2 \n", - "BIOL 1006 2002 Summer a 1 \n", - "BIOL 1006 2003 Spring a 3 \n", - "BIOL 1006 2004 Spring a 3 \n", - "BIOL 1006 2004 Spring b 1 \n", - "BIOL 1006 2004 Summer d 2 \n", - "BIOL 1006 2004 Fall a 3 \n", - " ...\n", - " (Total: 1544)" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Students in each section\n", - "Section.aggr(Enroll, n='count(*)')" + "# Grade point values\n", + "Grade * LetterGrade" ] }, { "cell_type": "code", - "execution_count": 61, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

course

\n", - " course number, e.g. 1010\n", - "
\n", - "

avg_grade

\n", - " calculated attribute\n", - "
CS45002.433000
PHYS20602.720200
CS38101.993462
MATH12202.302791
MATH12602.106400
BIOL10062.212951
BIOL10102.392143
MATH22802.346400
PHYS20402.306600
MATH22702.071667
PHYS22202.354583
BIOL20202.234918
\n", - "

...

\n", - "

Total: 45

\n", - " " - ], - "text/plain": [ - "*dept *course avg_grade \n", - "+------+ +--------+ +-----------+\n", - "CS 4500 2.433000 \n", - "PHYS 2060 2.720200 \n", - "CS 3810 1.993462 \n", - "MATH 1220 2.302791 \n", - "MATH 1260 2.106400 \n", - "BIOL 1006 2.212951 \n", - "BIOL 1010 2.392143 \n", - "MATH 2280 2.346400 \n", - "PHYS 2040 2.306600 \n", - "MATH 2270 2.071667 \n", - "PHYS 2220 2.354583 \n", - "BIOL 2020 2.234918 \n", - " ...\n", - " (Total: 45)" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], + "source": [ + "# Graded enrollments with complete course and student information\n", + "Student * Enroll * Course * Section * Grade * LetterGrade" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment with major information\n", + "Enroll * StudentMajor.proj(major='dept')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment outside chosen major\n", + "Enroll * StudentMajor.proj(major='dept') & 'major<>dept'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Enrollment not matching major \n", + "Enroll - StudentMajor " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Total grade points\n", + "(Course * Grade * LetterGrade).proj(total='points*credits')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Aggr" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Students in each section\n", + "Section.aggr(Enroll, n='count(*)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# Average grade in each course\n", "Course.aggr(Grade*LetterGrade, avg_grade='avg(points)')" @@ -5805,206 +3685,9 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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dept

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\n", - "

course

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\n", - "

term_year

\n", - " \n", - "
\n", - "

term

\n", - " \n", - "
\n", - "

section

\n", - " \n", - "
\n", - "

n

\n", - " calculated attribute\n", - "
\n", - "

m

\n", - " calculated attribute\n", - "
\n", - "

frac

\n", - " calculated attribute\n", - "
CS45002002Summera111.0000
PHYS20602004Springa221.0000
CS38102008Springb111.0000
MATH12202007Falla441.0000
MATH12602013Springa331.0000
BIOL10062013Summerc221.0000
BIOL10102013Springa221.0000
CS45002018Summera221.0000
PHYS20602018Summera111.0000
MATH22802006Springc331.0000
PHYS20402009Springa221.0000
PHYS20602012Springa111.0000
\n", - "

...

\n", - "

Total: 1457

\n", - " " - ], - "text/plain": [ - "*dept *course *term_year *term *section n m frac \n", - "+------+ +--------+ +-----------+ +--------+ +---------+ +---+ +---+ +--------+\n", - "CS 4500 2002 Summer a 1 1 1.0000 \n", - "PHYS 2060 2004 Spring a 2 2 1.0000 \n", - "CS 3810 2008 Spring b 1 1 1.0000 \n", - "MATH 1220 2007 Fall a 4 4 1.0000 \n", - "MATH 1260 2013 Spring a 3 3 1.0000 \n", - "BIOL 1006 2013 Summer c 2 2 1.0000 \n", - "BIOL 1010 2013 Spring a 2 2 1.0000 \n", - "CS 4500 2018 Summer a 2 2 1.0000 \n", - "PHYS 2060 2018 Summer a 1 1 1.0000 \n", - "MATH 2280 2006 Spring c 3 3 1.0000 \n", - "PHYS 2040 2009 Spring a 2 2 1.0000 \n", - "PHYS 2060 2012 Spring a 1 1 1.0000 \n", - " ...\n", - " (Total: 1457)" - ] - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Fraction graded in each section\n", "(Section.aggr(Enroll,n='count(*)') * Section.aggr(Grade, m='count(*)')).proj(\n", @@ -6013,116 +3696,9 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

student_id

\n", - " university-wide ID number\n", - "
\n", - "

gpa

\n", - " calculated attribute\n", - "
1002.5947619
1012.1701020
1022.3233333
1092.5078571
1112.9860000
1122.2196250
1142.0416842
1152.2040323
1163.7563636
1172.4119259
1182.0141964
1192.6593750
\n", - "

...

\n", - "

Total: 172

\n", - " " - ], - "text/plain": [ - "*student_id gpa \n", - "+------------+ +-----------+\n", - "100 2.5947619 \n", - "101 2.1701020 \n", - "102 2.3233333 \n", - "109 2.5078571 \n", - "111 2.9860000 \n", - "112 2.2196250 \n", - "114 2.0416842 \n", - "115 2.2040323 \n", - "116 3.7563636 \n", - "117 2.4119259 \n", - "118 2.0141964 \n", - "119 2.6593750 \n", - " ...\n", - " (Total: 172)" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Student GPA\n", "Student.aggr(Course * Grade * LetterGrade, \n", @@ -6131,99 +3707,9 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

dept

\n", - " abbreviated department name, e.g. BIOL\n", - "
\n", - "

avg_gpa

\n", - " calculated attribute\n", - "
BIOL2.17370238333
CS2.22539188108
MATH2.38795213871
PHYS2.21392633714
\n", - " \n", - "

Total: 4

\n", - " " - ], - "text/plain": [ - "*dept avg_gpa \n", - "+------+ +------------+\n", - "BIOL 2.17370238333 \n", - "CS 2.22539188108 \n", - "MATH 2.38795213871 \n", - "PHYS 2.21392633714 \n", - " (Total: 4)" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Average GPA for each major\n", "gpa = Student.aggr(Course * Grade * LetterGrade,\n", diff --git a/db-course/004-Design.ipynb b/db-course/004-Design.ipynb index ba3460b..0285ebe 100644 --- a/db-course/004-Design.ipynb +++ b/db-course/004-Design.ipynb @@ -30,8 +30,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "[2023-10-24 23:22:27,667][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-24 23:22:27,674][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-10-31 21:36:21,351][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-31 21:36:21,360][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] } ], @@ -324,12 +324,12 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", + "Account\n", + "\n", + "\n", + "Account\n", "\n", "\n", "\n", @@ -337,54 +337,54 @@ "\n", "Purchase\n", "\n", - "\n", - "Purchase\n", + "\n", + "Purchase\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "AddOn->Purchase\n", - "\n", + "Account->Purchase\n", + "\n", "\n", "\n", - "\n", + "\n", "CreditCard\n", - "\n", - "\n", - "CreditCard\n", + "\n", + "\n", + "CreditCard\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "CreditCard->Purchase\n", - "\n", + "Account->CreditCard\n", + "\n", "\n", - "\n", - "\n", - "Account\n", - "\n", - "\n", - "Account\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Account->CreditCard\n", - "\n", + "AddOn->Purchase\n", + "\n", "\n", - "\n", + "\n", "\n", - "Account->Purchase\n", - "\n", + "CreditCard->Purchase\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -539,75 +539,75 @@ "

sex

\n", " \n", " \n", - " 10013740006\n", - "Gina\n", - "Shaw\n", - "1914-11-23\n", - "F10016834227\n", - "Elizabeth\n", - "Weeks\n", - "1936-09-04\n", - "F10019159850\n", - "Joshua\n", - "Mcdowell\n", - "2007-12-14\n", - "M10027902431\n", - "Robert\n", - "Bailey\n", - "2002-10-16\n", - "M10052023046\n", - "Peter\n", - "English\n", - "2023-09-22\n", - "M10060545047\n", - "Latoya\n", - "Cohen\n", - "1917-01-02\n", - "F10074130737\n", - "Gina\n", - "Walters\n", - "2023-09-24\n", - "F10079483739\n", - "Gina\n", - "Compton\n", - "1934-08-10\n", - "F10089699053\n", - "Terri\n", - "Reid\n", - "1987-05-22\n", - "F10091646939\n", - "Katherine\n", - "Hernandez\n", - "1979-07-26\n", - "F10092272331\n", - "Linda\n", - "Gross\n", - "1984-08-15\n", - "F10110229863\n", - "Brandon\n", - "Jones\n", - "1951-12-04\n", - "M \n", + " 10022965768\n", + "Steven\n", + "Mccullough\n", + "2015-11-04\n", + "M10028316466\n", + "Deborah\n", + "Blankenship\n", + "1912-07-08\n", + "F10037683725\n", + "Debra\n", + "Patrick\n", + "1976-06-09\n", + "F10052698980\n", + "Holly\n", + "Gonzalez\n", + "1911-10-27\n", + "F10058125916\n", + "Diana\n", + "Mccoy\n", + "2021-08-09\n", + "F10070677966\n", + "Sarah\n", + "Riley\n", + "1969-06-15\n", + "F10082298528\n", + "Lisa\n", + "Simmons\n", + "1941-04-28\n", + "F10090941918\n", + "George\n", + "Brown\n", + "1912-10-06\n", + "M10111873420\n", + "Anna\n", + "Hall\n", + "2021-04-25\n", + "F10119593334\n", + "Diana\n", + "Woods\n", + "1921-05-27\n", + "F10132136302\n", + "Emily\n", + "Collins\n", + "1995-12-27\n", + "F10133731468\n", + "Tracy\n", + "Foley\n", + "1921-05-22\n", + "F \n", " \n", "

...

\n", "

Total: 10501

\n", " " ], "text/plain": [ - "*phone first_name last_name dob sex \n", - "+------------+ +------------+ +-----------+ +------------+ +-----+\n", - "10013740006 Gina Shaw 1914-11-23 F \n", - "10016834227 Elizabeth Weeks 1936-09-04 F \n", - "10019159850 Joshua Mcdowell 2007-12-14 M \n", - "10027902431 Robert Bailey 2002-10-16 M \n", - "10052023046 Peter English 2023-09-22 M \n", - "10060545047 Latoya Cohen 1917-01-02 F \n", - "10074130737 Gina Walters 2023-09-24 F \n", - "10079483739 Gina Compton 1934-08-10 F \n", - "10089699053 Terri Reid 1987-05-22 F \n", - "10091646939 Katherine Hernandez 1979-07-26 F \n", - "10092272331 Linda Gross 1984-08-15 F \n", - "10110229863 Brandon Jones 1951-12-04 M \n", + "*phone first_name last_name dob sex \n", + "+------------+ +------------+ +------------+ +------------+ +-----+\n", + "10022965768 Steven Mccullough 2015-11-04 M \n", + "10028316466 Deborah Blankenship 1912-07-08 F \n", + "10037683725 Debra Patrick 1976-06-09 F \n", + "10052698980 Holly Gonzalez 1911-10-27 F \n", + "10058125916 Diana Mccoy 2021-08-09 F \n", + "10070677966 Sarah Riley 1969-06-15 F \n", + "10082298528 Lisa Simmons 1941-04-28 F \n", + "10090941918 George Brown 1912-10-06 M \n", + "10111873420 Anna Hall 2021-04-25 F \n", + "10119593334 Diana Woods 1921-05-27 F \n", + "10132136302 Emily Collins 1995-12-27 F \n", + "10133731468 Tracy Foley 1921-05-22 F \n", " ...\n", " (Total: 10501)" ] @@ -623,7 +623,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -633,7 +633,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -648,7 +648,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -663,7 +663,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ diff --git a/db-course/007-Aggregation-HW.ipynb b/db-course/007-Aggregation-HW.ipynb new file mode 100644 index 0000000..fedf3b2 --- /dev/null +++ b/db-course/007-Aggregation-HW.ipynb @@ -0,0 +1,765 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-31 21:45:24,202][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-31 21:45:24,209][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "\n", + "sales = dj.Schema('classicsales')\n", + "sales.spawn_missing_classes()\n", + "\n", + "nations = dj.Schema('nation')\n", + "nations.spawn_missing_classes()\n", + "\n", + "hotel = dj.Schema('hotel')\n", + "hotel.spawn_missing_classes()\n", + "\n", + "university = dj.Schema('university')\n", + "university.spawn_missing_classes()\n", + "\n", + "app = dj.Schema('app')\n", + "app.spawn_missing_classes()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "0\n", + "\n", + "0\n", + "\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0->Customer\n", + "\n", + "\n", + "\n", + "\n", + "1\n", + "\n", + "1\n", + "\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1->Report\n", + "\n", + "\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->Section\n", + "\n", + "\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Section->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Enroll->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->Course\n", + "\n", + "\n", + "\n", + "\n", + "Course->Section\n", + "\n", + "\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Regions->Countries\n", + "\n", + "\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Continents->Regions\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable->Reservation\n", + "\n", + "\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Room->RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation->CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest->Reservation\n", + "\n", + "\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn->CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ProductLine->Product\n", + "\n", + "\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Product->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Office->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Employee->0\n", + "\n", + "\n", + "\n", + "\n", + "Employee->1\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Report\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Payment\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Order\n", + "\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(sales) + dj.Diagram(hotel) + dj.Diagram(university) + dj.Diagram(app) + dj.Diagram(nations)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 7: Aggregations\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 1 (sales)**: Show all the offices along with the number of employees in each." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 2 (sales)**: Show all employees, including the number of direct reports they have." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 3 (sales):** Show the top biggests orders in the current month along with the total amount on the order." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 4 (sales):** Show the top 5 customers by the amount of money that they have spent this month, including the amount." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 5 (app):** For each addon, show how many people have bought them." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 6 (sales):** Show the top 5 employees by the sales they have made so far this year." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 7 (nations)**: Show the top 5 languages by the number of countries in which they are the official language. Include the number of countries." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 8 (nations)**: Show the world population and and gdp for 2018." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 9 (nations)**: Show the world population and GDP for each year." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 10 (nations)**: Show all continents, along with their populations and GDP in 2018." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 11 (nations)**: Show all countries in Africa with a population greater than 100,000,000 in 2018." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 13 (university)**: Show the total number of students who have taken a math class." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 13 (university)**: Show the top course by enrollment in the current term." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 14 (hotel)**: Show the top five guests by the number of nights that they have stayed a the hotel." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 15 (nations):** Show all the regions and the average GDP per capita in each." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 16 (Sales):** Show the top five products by total sales (in dollars)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 17 (app):** Show the total sales by day over the last month." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 18 (university):** Show all the departments and the number of students electing them for their majors." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 19 (university):** Show all departments and the number of courses they offer in the current semester." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 20 (university)** Show what fraction of students declared \"MATH\" as their major each year." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 21 (university)** Show all courses offered in the current term with at least five students enrolled." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/007-Aggregation.ipynb b/db-course/007-Aggregation.ipynb index bd30421..4c08ab2 100644 --- a/db-course/007-Aggregation.ipynb +++ b/db-course/007-Aggregation.ipynb @@ -5,8 +5,31 @@ "metadata": {}, "source": [ "# Aggregation queries\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj\n", + "\n", + "sales = dj.Schema('classicsales')\n", + "sales.spawn_missing_classes()\n", + "\n", + "nations = dj.Schema('nation')\n", + "nations.spawn_missing_classes()\n", + "\n", + "hotel = dj.Schema('hotel')\n", + "hotel.spawn_missing_classes()\n", "\n", - "In this assigment, we will fetch data from a relational database server directly into Python variables. Using these new skills, we will complete the problems from Chapters 12, 13, and 14 in *SQL Queries for Mere Mortals*." + "university = dj.Schema('university')\n", + "university.spawn_missing_classes()\n", + "\n", + "app = dj.Schema('app')\n", + "app.spawn_missing_classes()" ] }, { @@ -355,919 +378,16 @@ ] }, { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT *\n", - "FROM product \n", - "LIMIT 10;" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "-- show the max retail price and the average retail price of products\n", - "\n", - "SELECT COUNT(*) AS n, MAX(retail_price) max_price, \n", - " AVG(retail_price) avg_price \n", - "FROM product" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT count(*) n,\n", - "MAX(retail_price) max_price, \n", - "AVG(retail_price) avg_price \n", - "FROM product" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- aggregation with condition\n", - "-- show the average retail price for non-bikes\n", - "\n", - "SELECT AVG(retail_price) as avg_price \n", - "FROM product \n", - "WHERE category_id NOT IN (\n", - " SELECT category_id \n", - " FROM category\n", - " WHERE category_description = \"Bikes\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "-- show products above average price\n", - "-- The following does NOT work\n", - "\n", - "SELECT * \n", - "FROM product \n", - "WHERE retail_price > avg(retail_price)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "-- show products above average price\n", - "-- Use a scalar subquery\n", - "\n", - "SELECT * \n", - "FROM product \n", - "WHERE retail_price > (SELECT avg(retail_price) FROM product)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- what not to do:\n", - "\n", - "SELECT *\n", - "FROM product\n", - "GROUP BY category_id\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- this is good\n", - "\n", - "SELECT category_id\n", - "FROM product\n", - "GROUP BY category_id\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT DISTINCT category_id\n", - "FROM product" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "-- show the numbers and average price of products in each category\n", - "\n", - "SELECT category_id, \n", - " count(*) as n, \n", - " ROUND(AVG(retail_price), 2) as avg_price\n", - "FROM product\n", - "GROUP BY category_id\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "\n", - "-- using in a subquery\n", - "\n", - "SELECT * FROM (\n", - " SELECT category_id, round(AVG(retail_price), 2) as avg_price\n", - " FROM product\n", - " GROUP BY category_id) as _ NATURAL JOIN category\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "\n", - "-- pre-join before group\n", - "\n", - "SELECT category.*, avg(retail_price) as avg_price \n", - "FROM category NATURAL LEFT JOIN product\n", - "GROUP BY category_id" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- show number of products in each category with retail price > 100.00\n", - "\n", - "SELECT category.*, count(*) as n\n", - "FROM category NATURAL JOIN product \n", - "WHERE retail_price > 100\n", - "GROUP BY category_id" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "-- show the number of items in each category priced over $100\n", - "SELECT category.*, count(product_number) as number_of_products\n", - "FROM category NATURAL LEFT JOIN (\n", - " SELECT * FROM product WHERE retail_price > 100) as _\n", - "GROUP BY category_id\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- show the top 10 customers who placed most orders\n", - "\n", - "SELECT customer_id, count(order_number) as number_of_orders\n", - "FROM customer NATURAL LEFT JOIN `order` \n", - "GROUP BY customer_id\n", - "ORDER BY number_of_orders DESC\n", - "LIMIT 10" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- show all customers who have placed over 40 orders since \n", - "-- the start of 2016\n", - "\n", - "SELECT * FROM (\n", - " SELECT customer_id, count(order_number) as number_of_orders\n", - " FROM customer NATURAL JOIN `order` \n", - " WHERE order_date > \"2016-01-01\"\n", - " GROUP BY customer_id) as _\n", - "WHERE number_of_orders > 40" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- show all customers who have placed over 40 orders \n", - "-- since the start of 2016\n", - "\n", - "SELECT customer_id, count(order_number) as number_of_orders\n", - "FROM customer NATURAL LEFT JOIN `order` \n", - "WHERE order_date > \"2016-01-01\"\n", - "GROUP BY customer_id\n", - "HAVING number_of_orders > 40\n", - "ORDER BY number_of_orders DESC" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- show the customer who has spent the most money\n", - "\n", - "SELECT customer.*, sum(quoted_price * quantity_ordered) as total\n", - "FROM customer NATURAL LEFT JOIN \n", - " (SELECT * FROM `order` NATURAL JOIN `order__item`) as _\n", - "GROUP BY customer_id\n", - "ORDER BY total DESC\n", - "LIMIT 1\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT customer.*, sum(quoted_price * quantity_ordered) as total\n", - "FROM customer NATURAL JOIN `order` NATURAL JOIN `order__item`\n", - "GROUP BY customer_id\n", - "ORDER BY total DESC\n", - "LIMIT 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- show averages prices per category for products with \n", - "-- retail price > 100.00\n", - "\n", - "SELECT category.*, round(AVG(retail_price), 2) as avg_price \n", - "FROM category NATURAL JOIN product\n", - "WHERE retail_price > 100\n", - "GROUP BY category_id" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- Categories with the average prices > 100\n", - "\n", - "SELECT * FROM (\n", - " SELECT category.*, AVG(retail_price) as avg_price \n", - " FROM category NATURAL JOIN product\n", - " GROUP BY category_id) as q\n", - "WHERE avg_price > 100" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "%%sql\n", - "\n", - "-- Categories with the average prices > 100\n", - "\n", - "SELECT category.*, AVG(retail_price) as avg_price \n", - "FROM category NATURAL JOIN product\n", - "GROUP BY category_id\n", - "HAVING avg_price > 100\n" + "# Summary of principles \n", + "1. Without a `GROUP BY`, aggregation functions collapse the table into a single row.\n", + "2. With `GROUP BY`, the grouping attributes become the new primary key of the result. \n", + "3. Do not mix aggregated and non-aggregated values in the result with or without a `GROUP BY`.\n", + "4. `HAVING` plays the same role as the `WHERE` clause in a nesting outer query so it can use the output of the aggregation functions.\n", + "5. `LEFT JOIN` is often follwed with a `GROUP BY` by the primary key attributes of the left table. In this scenario the entities in the right table are aggregated for each matching row in the left table.\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "-- show empty orders \n", - "\n", - "SELECT * \n", - "FROM `order` \n", - "WHERE order_number NOT IN (\n", - " SELECT order_number \n", - " FROM order__item)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "-- show empty orders\n", - "\n", - "SELECT * \n", - "FROM `order` NATURAL LEFT JOIN order__item\n", - "WHERE product_number is NULL" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- bad because mixes aggregated and random \n", - "\n", - "SELECT * FROM `order` NATURAL LEFT JOIN order__item\n", - "GROUP BY order_number\n", - "LIMIT 10" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- show empty orders\n", - "\n", - "SELECT `order`.*, COUNT(product_number) as nitems \n", - "FROM `order` NATURAL LEFT JOIN order__item\n", - "GROUP BY order_number\n", - "HAVING nitems = 0" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT `order`.*, product_number as nitems \n", - "FROM `order` NATURAL LEFT JOIN order__item\n", - "LIMIT 10" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example problems" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- Customers and the number of orders that they made\n", - "\n", - "SELECT customer_id, customer_first_name, customer_last_name, \n", - " count(order_number) as norders\n", - "FROM customer NATURAL LEFT JOIN `order`\n", - "GROUP BY customer_id\n", - "ORDER BY norders DESC\n", - "LIMIT 10" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- orders with their total amounts\n", - "\n", - "SELECT `order`.*, IFNULL(sum(quoted_price * quantity_ordered), 0) as total_amount\n", - "FROM `order` NATURAL LEFT JOIN `order__item` \n", - "GROUP BY order_number\n", - "ORDER BY total_amount \n", - "LIMIT 10" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- customers and the total $$$ spent\n", - "\n", - "SELECT customer_id, customer_last_name, sum(total_amount) money_spent\n", - "FROM customer NATURAL LEFT JOIN (\n", - " SELECT `order`.*, IFNULL(sum(quoted_price * quantity_ordered), 0) as total_amount\n", - " FROM `order` NATURAL LEFT JOIN `order__item` \n", - " GROUP BY order_number) as q\n", - "GROUP BY customer_id\n", - "ORDER BY money_spent DESC\n", - "LIMIT 10\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "-- customers and the total $$$ spent\n", - "\n", - "SELECT customer_id, customer_last_name, \n", - " IFNULL(sum(quoted_price * quantity_ordered), 0) money_spent\n", - "FROM customer NATURAL LEFT JOIN `order` NATURAL JOIN `order__item`\n", - "GROUP BY customer_id\n", - "ORDER BY money_spent DESC\n", - "LIMIT 10" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Summary of principles \n", - "1. Without a `GROUP BY`, aggregation functions collapse the table into a single row.\n", - "2. With `GROUP BY`, the grouping attributes become the new primary key of the result. \n", - "3. Do not mix aggregated and non-aggregated values in the result with or without a `GROUP BY`.\n", - "4. `HAVING` plays the same role as the `WHERE` clause in a nesting outer query so it can use the output of the aggregation functions.\n", - "5. `LEFT JOIN` is often follwed with a `GROUP BY` by the primary key attributes of the left table. In this scenario the entities in the right table are aggregated for each matching row in the left table.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Chapter 12 (total aggregation -- no grouping)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Problem 1. \n", - "“How many customers do we have in the state of California?”\n", - "\n", - "Viescas, John L.. SQL Queries for Mere Mortals (p. 460). Pearson Education. Kindle Edition. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.U().aggr(sales.Customer() & 'customer_state=\"CA\"', n='count(*)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT count(*) as n FROM customer WHERE customer_state=\"CA\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "“What is the average retail price of a mountain bike?” \n", - "\n", - "Viescas, John L.. SQL Queries for Mere Mortals (p. 467). Pearson Education. Kindle Edition. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "“What was the date of our most recent order?”\n", - "\n", - "Viescas, John L.. SQL Queries for Mere Mortals (p. 467). Pearson Education. Kindle Edition. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "SELECT order_number, order_date as latest_order\n", - "FROM `order`\n", - "ORDER BY latest_order DESC\n", - "LIMIT 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "SELECT max(order_date) as last_date \n", - "FROM `order`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "-- When was the last order to a customer in California\n", - "\n", - "SELECT max(order_date) as last_date\n", - "FROM `order`\n", - "WHERE customer_id in \n", - "(SELECT customer_id FROM customer WHERE customer_state=\"WA\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "SELECT max(order_date) as last_date\n", - "FROM `order` NATURAL JOIN customer\n", - "WHERE customer_state=\"WA\"" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.U().aggr(sales.Order * sales.Customer & 'customer_state=\"WA\"', \n", - " last_date='max(order_date)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Chapter 13 (aggregation with grouping)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "“Display for each product the product name and the total sales.”\n", - "\n", - "Viescas, John L.. SQL Queries for Mere Mortals (p. 490). Pearson Education. Kindle Edition. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Homework --- Due Nov 12\n", - "\n", - "## Chapter 12" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 1 (Sales):** Show the total amount of order number 8.\n", - " \n", - " Answer $1492.60" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Chapter 13" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 3 (Sales):** List vendors along with the average number of days they take to deliver the order.\n", - " \n", - " Answer 10 rows." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 4 (Sales):** List vendors along with the number of products each sells.\n", - " \n", - " Answer 10 rows." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Chapter 14\n", - "\n", - "**Problem 6 (Sales):** Count the orders that only have one product\n", - " \n", - " 1 row" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Aggregations in Datajoint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import datajoint as dj" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "schema = dj.Schema('shared_sales')\n", - "schema.spawn_missing_classes()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Customer.aggr(Order, n='count(order_number)', \n", - " duration='datediff(max(order_date), min(order_date))') & 'n>30'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# show total amount spent by customer\n", - "\n", - "Customer.aggr(Order * Order.Item, \n", - " spent='sum(quantity_ordered * quoted_price)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Order.Item()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.U('customer_state').aggr(Customer, n='count(customer_id)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Customer()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Challenge: Show all the triplets of products that appear together on at least 100 unique orders" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "P1 = sales.Order.Item.proj(p1 = 'product_number')\n", - "P2 = sales.Order.Item.proj(p2 = 'product_number')\n", - "P3 = sales.Order.Item.proj(p3 = 'product_number')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "triplets = P1 * P2 * P3 & 'p1 < p2' & 'p2 < p3'\n", - "triplets" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.U('p1', 'p2', 'p3').aggr(triplets, n='count(p1)') & 'n>=100'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "use shared_sales" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT order_number, \n", - " i1.product_number AS p1, \n", - " i2.product_number AS p2, \n", - " i3.product_number AS p3,\n", - " count(*) AS n\n", - "FROM order__item AS i1 JOIN order__item AS i2 USING (order_number) \n", - " JOIN order__item AS i3 USING (order_number)\n", - "WHERE i1.product_number < i2.product_number \n", - " AND i2.product_number < i3.product_number\n", - "GROUP BY p1, p2, p3\n", - "HAVING n>=100" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Challenge**: Find the most common list of products on an order (Hint: The same list of 8 products is found on 23 orders. You may find the GROUP_CONCAT function helpful. Note that it has an ORDER_BY option)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.U('item_list').aggr(\n", - "sales.Order.aggr(\n", - " sales.Order.Item, \n", - " item_list = 'GROUP_CONCAT(product_number ORDER BY product_number)'),\n", - " n='count(item_list)')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "SELECT order_number, GROUP_CONCAT(product_number ORDER BY product_number) item_list\n", - "FROM `order` NATURAL JOIN order__item\n", - "GROUP BY order_number" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "SELECT item_list, count(*) as n\n", - "FROM (SELECT order_number, \n", - " GROUP_CONCAT(product_number ORDER BY product_number) item_list\n", - "FROM `order` NATURAL JOIN order__item\n", - "GROUP BY order_number) as q\n", - "GROUP BY item_list\n", - "ORDER BY n DESC\n", - "LIMIT 1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/db-course/JuliaSets.ipynb b/db-course/007-Compute-JuliaSets.ipynb similarity index 100% rename from db-course/JuliaSets.ipynb rename to db-course/007-Compute-JuliaSets.ipynb From 30bde5a7f842e309b3be83332ee2092999baa9c9 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 1 Nov 2023 00:58:22 +0000 Subject: [PATCH 27/33] more on aggregations --- db-course/006-Joins-HW.ipynb | 2733 +++++++++++++++++++++++----- db-course/007-Aggregation-HW.ipynb | 543 +++++- db-course/007-Aggregation.ipynb | 972 +++++++++- 3 files changed, 3811 insertions(+), 437 deletions(-) diff --git a/db-course/006-Joins-HW.ipynb b/db-course/006-Joins-HW.ipynb index 72ce93d..7067c05 100644 --- a/db-course/006-Joins-HW.ipynb +++ b/db-course/006-Joins-HW.ipynb @@ -2,9 +2,31 @@ "cells": [ { "cell_type": "code", - "execution_count": 147, + "execution_count": 13, "metadata": {}, "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-31 22:53:10,315][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-31 22:53:10,987][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "\n", @@ -26,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 148, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -36,162 +58,162 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "32\n", + "0\n", "\n", - "32\n", + "0\n", "\n", "\n", - "\n", + "\n", "Report\n", - "\n", + "\n", "\n", "Report\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "32->Report\n", + "0->Report\n", "\n", "\n", - "\n", + "\n", "\n", - "33\n", + "1\n", "\n", - "33\n", + "1\n", "\n", "\n", - "\n", + "\n", "Customer\n", - "\n", + "\n", "\n", "Customer\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "33->Customer\n", + "1->Customer\n", "\n", "\n", - "\n", + "\n", "\n", - "Payment\n", - "\n", - "\n", - "Payment\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "Product\n", "\n", "\n", "\n", + "\n", + "\n", + "ProductLine->Product\n", + "\n", + "\n", "\n", "\n", "Order\n", "\n", - "\n", - "Order\n", + "\n", + "Order\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Order.Item\n", - "\n", - "\n", - "Order.Item\n", + "\n", + "\n", + "Order.Item\n", "\n", "\n", "\n", "\n", - "\n", - "Order->Order.Item\n", - "\n", - "\n", - "\n", - "\n", - "ProductLine\n", - "\n", - "\n", - "ProductLine\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Product\n", - "\n", - "\n", - "Product\n", - "\n", - "\n", - "\n", - "\n", "\n", - "ProductLine->Product\n", - "\n", + "Order->Order.Item\n", + "\n", "\n", - "\n", - "\n", - "Office\n", - "\n", - "\n", - "Office\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "Payment\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Employee\n", - "\n", + "\n", "\n", "Employee\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Office->Employee\n", - "\n", + "Employee->0\n", + "\n", "\n", - "\n", + "\n", "\n", - "Product->Order.Item\n", - "\n", + "Employee->1\n", + "\n", "\n", - "\n", + "\n", "\n", - "Customer->Payment\n", - "\n", + "Employee->Report\n", + "\n", "\n", "\n", "\n", "Customer->Order\n", - "\n", + "\n", "\n", - "\n", + "\n", "\n", - "Employee->32\n", - "\n", + "Customer->Payment\n", + "\n", "\n", - "\n", + "\n", "\n", - "Employee->33\n", - "\n", + "Product->Order.Item\n", + "\n", "\n", - "\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "\n", + "\n", "\n", - "Employee->Report\n", - "\n", + "Office->Employee\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 148, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -202,110 +224,110 @@ }, { "cell_type": "code", - "execution_count": 149, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Regions\n", - "\n", - "\n", - "Regions\n", + "RegionAreas\n", + "\n", + "\n", + "RegionAreas\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Countries\n", - "\n", + "\n", "\n", "Countries\n", "\n", "\n", "\n", - "\n", - "\n", - "Regions->Countries\n", - "\n", - "\n", "\n", - "\n", + "\n", "CountryStats\n", - "\n", + "\n", "\n", "CountryStats\n", "\n", "\n", "\n", - "\n", - "\n", - "Languages\n", - "\n", - "\n", - "Languages\n", - "\n", - "\n", + "\n", + "\n", + "Countries->CountryStats\n", + "\n", "\n", "\n", - "\n", + "\n", "CountryLanguages\n", - "\n", + "\n", "\n", "CountryLanguages\n", "\n", "\n", "\n", - "\n", - "\n", - "Languages->CountryLanguages\n", - "\n", - "\n", - "\n", - "\n", - "Guests\n", - "\n", - "\n", - "Guests\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Countries->CountryStats\n", - "\n", - "\n", "\n", - "\n", + "\n", "Countries->CountryLanguages\n", "\n", "\n", "\n", - "\n", + "\n", "Continents\n", - "\n", + "\n", "\n", "Continents\n", "\n", "\n", "\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "\n", "\n", - "\n", + "\n", "Continents->Regions\n", "\n", "\n", - "\n", - "\n", - "RegionAreas\n", - "\n", - "\n", - "RegionAreas\n", + "\n", + "\n", + "Regions->Countries\n", + "\n", + "\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "Guests\n", "\n", "\n", "\n", @@ -313,10 +335,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 149, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -327,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -337,29 +359,15 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "CheckIn\n", - "\n", - "\n", - "CheckIn\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "CheckOut\n", - "\n", - "\n", - "CheckOut\n", + "Room\n", + "\n", + "\n", + "Room\n", "\n", "\n", "\n", - "\n", - "\n", - "CheckIn->CheckOut\n", - "\n", - "\n", "\n", "\n", "RoomAvailable\n", @@ -369,10 +377,15 @@ "\n", "\n", "\n", + "\n", + "\n", + "Room->RoomAvailable\n", + "\n", + "\n", "\n", - "\n", + "\n", "Reservation\n", - "\n", + "\n", "\n", "Reservation\n", "\n", @@ -383,19 +396,28 @@ "RoomAvailable->Reservation\n", "\n", "\n", - "\n", + "\n", "\n", - "Room\n", - "\n", - "\n", - "Room\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", "\n", "\n", "\n", - "\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "\n", + "\n", "\n", - "Room->RoomAvailable\n", - "\n", + "CheckIn->CheckOut\n", + "\n", "\n", "\n", "\n", @@ -403,9 +425,9 @@ "\n", "\n", "\n", - "\n", + "\n", "Guest\n", - "\n", + "\n", "\n", "Guest\n", "\n", @@ -420,10 +442,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 150, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -434,164 +456,164 @@ }, { "cell_type": "code", - "execution_count": 151, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", + "\n", "\n", "\n", "Course\n", "\n", - "\n", - "Course\n", + "\n", + "Course\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Section\n", - "\n", - "\n", - "Section\n", + "\n", + "\n", + "Section\n", "\n", "\n", "\n", "\n", "\n", "Course->Section\n", - "\n", + "\n", "\n", - "\n", + "\n", "\n", - "Department\n", - "\n", - "\n", - "Department\n", + "Grade\n", + "\n", + "\n", + "Grade\n", "\n", "\n", "\n", - "\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "\n", + "\n", "\n", + "LetterGrade->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", "Department->Course\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "StudentMajor\n", - "\n", - "\n", - "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Department->StudentMajor\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "Enroll\n", - "\n", + "\n", "\n", "Enroll\n", "\n", "\n", "\n", - "\n", - "\n", - "Section->Enroll\n", - "\n", + "\n", + "\n", + "Enroll->Grade\n", + "\n", "\n", - "\n", - "\n", - "LetterGrade\n", - "\n", - "\n", - "LetterGrade\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Grade\n", - "\n", - "\n", - "Grade\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "LetterGrade->Grade\n", - "\n", - "\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "Student\n", + "Term\n", + "\n", + "\n", + "Term\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Student->Enroll\n", - "\n", + "Term->CurrentTerm\n", + "\n", "\n", - "\n", + "\n", "\n", - "Student->StudentMajor\n", - "\n", - "\n", - "\n", - "\n", - "Term\n", - "\n", - "\n", - "Term\n", - "\n", - "\n", + "Term->Section\n", + "\n", "\n", - "\n", + "\n", "\n", - "Term->Section\n", - "\n", + "Section->Enroll\n", + "\n", "\n", - "\n", - "\n", - "CurrentTerm\n", - "\n", - "\n", - "CurrentTerm\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Term->CurrentTerm\n", - "\n", + "Student->Enroll\n", + "\n", "\n", - "\n", + "\n", "\n", - "Enroll->Grade\n", - "\n", + "Student->StudentMajor\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 151, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -602,7 +624,7 @@ }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -612,70 +634,70 @@ "\n", "%3\n", "\n", - "\n", + "\n", "\n", - "CreditCard\n", - "\n", - "\n", - "CreditCard\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Purchase\n", - "\n", - "\n", - "Purchase\n", + "\n", + "\n", + "Purchase\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "CreditCard->Purchase\n", - "\n", + "AddOn->Purchase\n", + "\n", "\n", "\n", - "\n", + "\n", "Account\n", - "\n", - "\n", - "Account\n", + "\n", + "\n", + "Account\n", "\n", "\n", "\n", - "\n", - "\n", - "Account->CreditCard\n", - "\n", - "\n", "\n", - "\n", + "\n", "Account->Purchase\n", - "\n", + "\n", "\n", - "\n", + "\n", "\n", - "AddOn\n", - "\n", - "\n", - "AddOn\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", "\n", "\n", "\n", - "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", "\n", - "AddOn->Purchase\n", - "\n", + "CreditCard->Purchase\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 152, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -685,143 +707,1998 @@ ] }, { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Homework 6: Joins and Subqueries\n", - "\n", - "The following queries may require joins. Some queries may be performed using subquiries without joins." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 1 (sales)**: Show customer names along with the last names of their sales rep (omitting ones that don't have a sales rep)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 2 (sales)**: Show all employees, including the last name of their boss (omitting the top boss who reports to no one)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 3 (sales):** Show all employees whose boss' office is outside the USA." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 4 (sales):** Show all employees whose boss is in a different office." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 5 (sales):** Show all customers who have bought model trains." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 6 (sales):** Show all employees who have not sold model trains." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 7 (nations)**: Show the names of all countries in Antartica along with their populations in 1996" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 8 (nations)**: Show the names of countries on the continent of Oceania along with their populations in 1996" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 9 (nations)**: Show the top 10 contries by their absolute population increase between 1990 and 2010." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 10 (nations)**: Show the top 10 contries by their percent increase in per capita gdp from 1990 to 2010." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 11 (nations)**: List the top 5 most populous countries where Spanish is the official languag in 2010." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 12 (nations)**: List the top 10 wealthiest (per capita) non-English speaking countries in 2015." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 13 (hotel)**: List all the reservations for 2023-11-01, including the room price, and the guest's last name. (Feel free to pick a different date.)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 14 (hotel)**: Show all guests who have checked in and not checked out." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 15 (university):** Pick one student and show his or her course enrollments in the current term." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 16 (university):** Show all students who have received As in math in the current term." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 17 (app):** List names of the buyers from the latest 10 sales of the Marathon app." - ] - }, - { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 7, "metadata": {}, - "source": [ - "**Problem 18 (app):** List the latest sales made on the buyers' birthdays, including the name of the app." - ] - }, - { - "cell_type": "markdown", + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "10\n", + "\n", + "10\n", + "\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "10->Report\n", + "\n", + "\n", + "\n", + "\n", + "11\n", + "\n", + "11\n", + "\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "11->Customer\n", + "\n", + "\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "Term\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "Section\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->Section\n", + "\n", + "\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Term->CurrentTerm\n", + "\n", + "\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "Enroll\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "Section->Enroll\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "LetterGrade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "LetterGrade->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Enroll->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "Department\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->StudentMajor\n", + "\n", + "\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "Course\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Department->Course\n", + "\n", + "\n", + "\n", + "\n", + "Course->Section\n", + "\n", + "\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Regions->Countries\n", + "\n", + "\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Continents->Regions\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + 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"ProductLine->Product\n", + "\n", + "\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Product->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Office->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Employee->10\n", + "\n", + "\n", + "\n", + "\n", + "Employee->11\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Report\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Payment\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Order\n", + "\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(sales) + dj.Diagram(university) + dj.Diagram(nations) + dj.Diagram(hotel) + dj.Diagram(app)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 6: Joins and Subqueries\n", + "\n", + "The following queries may require joins. Some queries may be performed using subquiries without joins." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 1 (sales)**: Show customer names along with the last names of their sales rep (omitting ones that don't have a sales rep)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 2 (sales)**: Show all employees, including the last name of their boss (omitting the top boss who reports to no one)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 3 (sales):** Show all employees whose boss' office is outside the USA." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 4 (sales):** Show all employees whose boss is in a different office." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 5 (sales):** Show all customers who have bought model trains." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 6 (sales):** Show all employees who have not sold model trains." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 7 (nations)**: Show the names of all countries in North America along with their populations in 1996" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 8 (nations)**: Show the names of countries on the continent of Oceania along with their populations in 1996" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 9 (nations)**: Show the top 10 contries by their absolute population increase between 1990 and 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 10 (nations)**: Show the top 10 contries by their percent increase in per capita gdp from 1990 to 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 11 (nations)**: List the top 5 most populous countries where Spanish is the official languag in 2010." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 12 (nations)**: List the top 10 wealthiest (per capita) non-English speaking countries in 2015." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 13 (hotel)**: List all the reservations for 2023-11-01, including the room price, and the guest's last name. (Feel free to pick a different date.)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 14 (hotel)**: Show all guests who have checked in and not checked out." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 15 (university):** Pick one student and show his or her course enrollments in the current term." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 16 (university):** Show all students who have received As in math in the current term." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 17 (app):** List names of the buyers from the latest 10 sales of the Marathon app." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 18 (app):** List the latest purchase made on the buyers' birthday, including the name of the addon that was purchased." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "AddOn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "Purchase\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AddOn->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "Account\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->Purchase\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Account->CreditCard\n", + "\n", + "\n", + "\n", + "\n", + "CreditCard->Purchase\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(app)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-10-31 23:03:34,744][WARNING]: MySQL server has gone away. 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phoneaddon_namepurchase_date
21012023597Track & Field2023-10-28
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\n", + "

region_id

\n", + " \n", + "
\n", + "

name

\n", + " \n", + "
\n", + "

continent_id

\n", + " \n", + "
1Caribbean1
2Southern and Central Asia2
3Central Africa3
4Southern Europe4
5Middle East2
6South America5
7Polynesia6
8Antarctica7
9Australia and New Zealand6
10Western Europe4
11Eastern Africa3
12Western Africa3
\n", + "

...

\n", + "

Total: 25

\n", + " " + ], + "text/plain": [ + "*region_id name continent_id \n", + "+-----------+ +------------+ +------------+\n", + "1 Caribbean 1 \n", + "2 Southern and C 2 \n", + "3 Central Africa 3 \n", + "4 Southern Europ 4 \n", + "5 Middle East 2 \n", + "6 South America 5 \n", + "7 Polynesia 6 \n", + "8 Antarctica 7 \n", + "9 Australia and 6 \n", + "10 Western Europe 4 \n", + "11 Eastern Africa 3 \n", + "12 Western Africa 3 \n", + " ...\n", + " (Total: 25)" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# problem 7\n", + "Regions()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

continent_id

\n", + " \n", + "
\n", + "

region_id

\n", + " \n", + "
\n", + "

country_id

\n", + " \n", + "
\n", + "

year

\n", + " \n", + "
\n", + "

country_name

\n", + " \n", + "
\n", + "

population

\n", + " \n", + "
1111996Aruba83200
11141996Antigua and Barbuda70173
11251996Bahamas283978
11321996Barbados267049
11521996Cuba10939293
11591996Dominica70936
11611996Dominican Republic7952763
11871996Grenada101001
11971996Haiti7887304
111081996Jamaica2558637
111161996Saint Kitts and Nevis42475
111231996Saint Lucia148834
111731996Puerto Rico3724655
112141996Trinidad and Tobago1257549
112271996Saint Vincent and the Grenadines107976
114281996Belize213664
114511996Costa Rica3632362
114891996Guatemala10646674
114951996Honduras5874809
1141361996Mexico93147044
1141571996Nicaragua4741578
1141661996Panama2796291
1141931996El Salvador5689938
115291996Bermuda60129
115381996Canada29610218
115881996Greenland55900
1152241996United States269394000
\n", + " \n", + "

Total: 27

\n", + " " + ], + "text/plain": [ + "*continent_id *region_id *country_id *year country_name population \n", + "+------------+ +-----------+ +------------+ +------+ +------------+ +------------+\n", + "1 1 1 1996 Aruba 83200 \n", + "1 1 14 1996 Antigua and Ba 70173 \n", + "1 1 25 1996 Bahamas 283978 \n", + "1 1 32 1996 Barbados 267049 \n", + "1 1 52 1996 Cuba 10939293 \n", + "1 1 59 1996 Dominica 70936 \n", + "1 1 61 1996 Dominican Repu 7952763 \n", + "1 1 87 1996 Grenada 101001 \n", + "1 1 97 1996 Haiti 7887304 \n", + "1 1 108 1996 Jamaica 2558637 \n", + "1 1 116 1996 Saint Kitts an 42475 \n", + "1 1 123 1996 Saint Lucia 148834 \n", + "1 1 173 1996 Puerto Rico 3724655 \n", + "1 1 214 1996 Trinidad and T 1257549 \n", + "1 1 227 1996 Saint Vincent 107976 \n", + "1 14 28 1996 Belize 213664 \n", + "1 14 51 1996 Costa Rica 3632362 \n", + "1 14 89 1996 Guatemala 10646674 \n", + "1 14 95 1996 Honduras 5874809 \n", + "1 14 136 1996 Mexico 93147044 \n", + "1 14 157 1996 Nicaragua 4741578 \n", + "1 14 166 1996 Panama 2796291 \n", + "1 14 193 1996 El Salvador 5689938 \n", + "1 15 29 1996 Bermuda 60129 \n", + "1 15 38 1996 Canada 29610218 \n", + "1 15 88 1996 Greenland 55900 \n", + "1 15 224 1996 United States 269394000 \n", + " (Total: 27)" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "((Continents.proj(..., continent_name=\"name\") * \n", + "Regions.proj(..., region_name=\"name\") * \n", + "Countries.proj(..., country_name=\"name\") * CountryStats())\n", + " & 'continent_name=\"North America\"' & 'year=1996').proj('country_name', 'population')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "dj.config['display.limit'] = 30" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namepopulation
United States269394000
Mexico93147044
Canada29610218
Cuba10939293
Guatemala10646674
Dominican Republic7952763
Haiti7887304
Honduras5874809
El Salvador5689938
Nicaragua4741578
" + ], + "text/plain": [ + "[('United States', 269394000),\n", + " ('Mexico', 93147044),\n", + " ('Canada', 29610218),\n", + " ('Cuba', 10939293),\n", + " ('Guatemala', 10646674),\n", + " ('Dominican Republic', 7952763),\n", + " ('Haiti', 7887304),\n", + " ('Honduras', 5874809),\n", + " ('El Salvador', 5689938),\n", + " ('Nicaragua', 4741578)]" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "use nation;\n", + "\n", + "SELECT countries.name, country_stats.population FROM country_stats NATURAL JOIN countries \n", + "JOIN regions USING (region_id) JOIN continents USING (continent_id)\n", + "WHERE year=1996 and continents.name=\"North America\"\n", + "ORDER BY population DESC\n", + "LIMIT 10" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

country_id

\n", + " \n", + "
\n", + "

name

\n", + " \n", + "
\n", + "

area

\n", + " \n", + "
\n", + "

national_day

\n", + " \n", + "
\n", + "

country_code2

\n", + " \n", + "
\n", + "

country_code3

\n", + " \n", + "
\n", + "

region_id

\n", + " \n", + "
4Anguilla96.001967-05-30AIAIA1
7Netherlands Antilles800.00NoneANANT1
12Antarctica13120000.00NoneAQATA8
13French Southern territories7780.00NoneTFATF8
35Bouvet Island59.00NoneBVBVT8
39Cocos (Keeling) Islands14.00NoneCCCCK9
47Cook Islands236.00NoneCKCOK7
53Christmas Island135.00NoneCXCXR9
66Western Sahara266000.00NoneEHESH20
72Falkland Islands12173.00NoneFKFLK6
80Gibraltar6.00NoneGIGIB4
82Guadeloupe1705.00NoneGPGLP1
90French Guiana90000.00NoneGFGUF6
94Heard Island and McDonald Islands359.00NoneHMHMD8
101British Indian Ocean Territory78.00NoneIOIOT11
146Montserrat102.00NoneMSMSR1
147Martinique1102.00NoneMQMTQ1
151Mayotte373.00NoneYTMYT11
155Norfolk Island36.00NoneNFNFK9
158Niue260.00NoneNUNIU7
167Pitcairn49.00NonePNPCN7
174North Korea120538.00NoneKPPRK18
180Réunion2510.00NoneREREU11
181Romania238391.001877-05-09ROROM13
188South Georgia and the South Sandwich Islands3903.00NoneGSSGS8
189Saint Helena314.00NoneSHSHN12
190Svalbard and Jan Mayen62422.00NoneSJSJM19
196Saint Pierre and Miquelon242.00NonePMSPM15
210Tokelau12.00NoneTKTKL7
212East Timor14874.002002-05-20TPTMP16
\n", + "

...

\n", + "

Total: 36

\n", + " " + ], + "text/plain": [ + "*country_id name area national_day country_code2 country_code3 region_id \n", + "+------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +-----------+\n", + "4 Anguilla 96.00 1967-05-30 AI AIA 1 \n", + "7 Netherlands An 800.00 None AN ANT 1 \n", + "12 Antarctica 13120000.00 None AQ ATA 8 \n", + "13 French Souther 7780.00 None TF ATF 8 \n", + "35 Bouvet Island 59.00 None BV BVT 8 \n", + "39 Cocos (Keeling 14.00 None CC CCK 9 \n", + "47 Cook Islands 236.00 None CK COK 7 \n", + "53 Christmas Isla 135.00 None CX CXR 9 \n", + "66 Western Sahara 266000.00 None EH ESH 20 \n", + "72 Falkland Islan 12173.00 None FK FLK 6 \n", + "80 Gibraltar 6.00 None GI GIB 4 \n", + "82 Guadeloupe 1705.00 None GP GLP 1 \n", + "90 French Guiana 90000.00 None GF GUF 6 \n", + "94 Heard Island a 359.00 None HM HMD 8 \n", + "101 British Indian 78.00 None IO IOT 11 \n", + "146 Montserrat 102.00 None MS MSR 1 \n", + "147 Martinique 1102.00 None MQ MTQ 1 \n", + "151 Mayotte 373.00 None YT MYT 11 \n", + "155 Norfolk Island 36.00 None NF NFK 9 \n", + "158 Niue 260.00 None NU NIU 7 \n", + "167 Pitcairn 49.00 None PN PCN 7 \n", + "174 North Korea 120538.00 None KP PRK 18 \n", + "180 Réunion 2510.00 None RE REU 11 \n", + "181 Romania 238391.00 1877-05-09 RO ROM 13 \n", + "188 South Georgia 3903.00 None GS SGS 8 \n", + "189 Saint Helena 314.00 None SH SHN 12 \n", + "190 Svalbard and J 62422.00 None SJ SJM 19 \n", + "196 Saint Pierre a 242.00 None PM SPM 15 \n", + "210 Tokelau 12.00 None TK TKL 7 \n", + "212 East Timor 14874.00 2002-05-20 TP TMP 16 \n", + " ...\n", + " (Total: 36)" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Countries - CountryStats" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [] } ], diff --git a/db-course/007-Aggregation-HW.ipynb b/db-course/007-Aggregation-HW.ipynb index fedf3b2..690c760 100644 --- a/db-course/007-Aggregation-HW.ipynb +++ b/db-course/007-Aggregation-HW.ipynb @@ -4,13 +4,26 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[2023-10-31 21:45:24,202][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-31 21:45:24,209][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-10-31 23:46:29,692][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-10-31 23:46:29,738][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] } ], @@ -35,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -569,10 +582,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -662,14 +675,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Problem 11 (nations)**: Show all countries in Africa with a population greater than 100,000,000 in 2018." + "**Problem 11 (nations)**: Show all the countries in Africa with a population greater than 100,000,000 in 2018." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Problem 13 (university)**: Show the total number of students who have taken a math class." + "**Problem 12 (university)**: Show the total number of students who have taken a math class." ] }, { @@ -690,7 +703,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Problem 15 (nations):** Show all the regions and the average GDP per capita in each." + "**Problem 15 (nations):** Show all the regions and the average GDP per capita in each for 2018." ] }, { @@ -738,6 +751,520 @@ { "cell_type": "markdown", "metadata": {}, + "source": [ + "# Solutions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 15** - Show the world regions and the GDP per capita in each for 2018" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

region_id

\n", + " \n", + "
\n", + "

name

\n", + " \n", + "
\n", + "

gdp_per_capita

\n", + " calculated attribute\n", + "
4Southern Europe28894.7823
9Australia and New Zealand54797.2481
10Western Europe48084.2176
15North America60969.2672
19Nordic Countries60283.0448
24British Islands44961.9390
\n", + " \n", + "

Total: 6

\n", + " " + ], + "text/plain": [ + "*region_id name gdp_per_capita\n", + "+-----------+ +------------+ +------------+\n", + "4 Southern Europ 28894.7823 \n", + "9 Australia and 54797.2481 \n", + "10 Western Europe 48084.2176 \n", + "15 North America 60969.2672 \n", + "19 Nordic Countri 60283.0448 \n", + "24 British Island 44961.9390 \n", + " (Total: 6)" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stats2018 = Countries.proj(..., country_name=\"name\") * CountryStats() & 'year=2018'\n", + "\n", + "Regions.aggr(stats2018 , 'name', gdp_per_capita = 'sum(gdp) / sum(population)') " + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
gdp_per_capital
11358.9055
" + ], + "text/plain": [ + "[(Decimal('11358.9055'),)]" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- Show the world's GDP per capita for 2018\n", + "use nation;\n", + "\n", + "SELECT sum(gdp) / sum(population) as gdp_per_capital FROM country_stats WHERE year=2018" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "23 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namegdp_per_capita
North America60969.2672
Nordic Countries60283.0448
Australia and New Zealand54797.2481
Western Europe48084.2176
British Islands44961.9390
Southern Europe28894.7823
Baltic Countries19610.0947
Eastern Asia13038.6653
Middle East12796.6965
Eastern Europe11054.7064
South America8856.0444
Central America8504.8136
Caribbean7994.9232
Southern Africa6221.5752
Southeast Asia4540.4641
Polynesia4357.4108
Micronesia3682.2003
Melanesia2990.8784
Northern Africa2868.7577
Southern and Central Asia1979.5632
Western Africa1613.7979
Central Africa1461.5715
Eastern Africa945.5000
" + ], + "text/plain": [ + "[('North America', Decimal('60969.2672')),\n", + " ('Nordic Countries', Decimal('60283.0448')),\n", + " ('Australia and New Zealand', Decimal('54797.2481')),\n", + " ('Western Europe', Decimal('48084.2176')),\n", + " ('British Islands', Decimal('44961.9390')),\n", + " ('Southern Europe', Decimal('28894.7823')),\n", + " ('Baltic Countries', Decimal('19610.0947')),\n", + " ('Eastern Asia', Decimal('13038.6653')),\n", + " ('Middle East', Decimal('12796.6965')),\n", + " ('Eastern Europe', Decimal('11054.7064')),\n", + " ('South America', Decimal('8856.0444')),\n", + " ('Central America', Decimal('8504.8136')),\n", + " ('Caribbean', Decimal('7994.9232')),\n", + " ('Southern Africa', Decimal('6221.5752')),\n", + " ('Southeast Asia', Decimal('4540.4641')),\n", + " ('Polynesia', Decimal('4357.4108')),\n", + " ('Micronesia', Decimal('3682.2003')),\n", + " ('Melanesia', Decimal('2990.8784')),\n", + " ('Northern Africa', Decimal('2868.7577')),\n", + " ('Southern and Central Asia', Decimal('1979.5632')),\n", + " ('Western Africa', Decimal('1613.7979')),\n", + " ('Central Africa', Decimal('1461.5715')),\n", + " ('Eastern Africa', Decimal('945.5000'))]" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "use nation; \n", + "-- Show the world's GDP per capita for 2018 by region\n", + "SELECT regions.name, sum(gdp) / sum(population) as gdp_per_capita \n", + "FROM regions JOIN countries using (region_id) NATURAL JOIN country_stats \n", + "WHERE year=2018 GROUP BY region_id\n", + "ORDER BY gdp_per_capita DESC" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "6 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namegdp_per_capita
North America60969.2672
Nordic Countries60283.0448
Australia and New Zealand54797.2481
Western Europe48084.2176
British Islands44961.9390
Southern Europe28894.7823
" + ], + "text/plain": [ + "[('North America', Decimal('60969.2672')),\n", + " ('Nordic Countries', Decimal('60283.0448')),\n", + " ('Australia and New Zealand', Decimal('54797.2481')),\n", + " ('Western Europe', Decimal('48084.2176')),\n", + " ('British Islands', Decimal('44961.9390')),\n", + " ('Southern Europe', Decimal('28894.7823'))]" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "-- show all the regions with GDP per capita over 25,000 in 2018\n", + "use nation;\n", + "\n", + "SELECT regions.name, sum(gdp) / sum(population) as gdp_per_capita \n", + "FROM regions JOIN countries using (region_id) NATURAL JOIN country_stats \n", + "WHERE year=2018 \n", + "GROUP BY region_id\n", + "HAVING gdp_per_capita > 25000\n", + "ORDER BY gdp_per_capita DESC\n" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "6 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
namegdp_per_capita
North America60969.2672
Nordic Countries60283.0448
Australia and New Zealand54797.2481
Western Europe48084.2176
British Islands44961.9390
Southern Europe28894.7823
" + ], + "text/plain": [ + "[('North America', Decimal('60969.2672')),\n", + " ('Nordic Countries', Decimal('60283.0448')),\n", + " ('Australia and New Zealand', Decimal('54797.2481')),\n", + " ('Western Europe', Decimal('48084.2176')),\n", + " ('British Islands', Decimal('44961.9390')),\n", + " ('Southern Europe', Decimal('28894.7823'))]" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM (\n", + " SELECT regions.name, sum(gdp) / sum(population) as gdp_per_capita \n", + " FROM regions JOIN countries using (region_id) NATURAL JOIN country_stats \n", + " WHERE year=2018 \n", + " GROUP BY region_id\n", + " ORDER BY gdp_per_capita DESC) as q\n", + "WHERE gdp_per_capita > 25000" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], "source": [] } ], diff --git a/db-course/007-Aggregation.ipynb b/db-course/007-Aggregation.ipynb index 4c08ab2..76fd0b4 100644 --- a/db-course/007-Aggregation.ipynb +++ b/db-course/007-Aggregation.ipynb @@ -10,9 +10,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-11-01 00:25:59,466][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-11-01 00:25:59,482][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], "source": [ "import datajoint as dj\n", "\n", @@ -388,6 +410,954 @@ "4. `HAVING` plays the same role as the `WHERE` clause in a nesting outer query so it can use the output of the aggregation functions.\n", "5. `LEFT JOIN` is often follwed with a `GROUP BY` by the primary key attributes of the left table. In this scenario the entities in the right table are aggregated for each matching row in the left table.\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Always aggregate entity B grouped by entity A\n", + "2. Then GROUP BY the primary of A\n", + "3. Aggregate the attribute B but not A\n", + "4. SELECT non-aggregated attributes of A but not B\n", + "5. Use an left join if you need to include rows of A for which there is no match in B " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "dj.Diagram(sales)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "0\n", + "\n", + "0\n", + "\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0->Customer\n", + "\n", + "\n", + "\n", + "\n", + "1\n", + "\n", + "1\n", + "\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1->Report\n", + "\n", + "\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Payment\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Order\n", + "\n", + "\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Office->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ProductLine->Product\n", + "\n", + "\n", + "\n", + "\n", + "Employee->0\n", + "\n", + "\n", + "\n", + "\n", + "Employee->1\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Report\n", + "\n", + "\n", + "\n", + "\n", + "Product->Order.Item\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(sales)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

order_number

\n", + " \n", + "
\n", + "

n

\n", + " calculated attribute\n", + "
1010816
101096
1011016
101116
101122
101134
\n", + " \n", + "

Total: 6

\n", + " " + ], + "text/plain": [ + "*order_number n \n", + "+------------+ +----+\n", + "10108 16 \n", + "10109 6 \n", + "10110 16 \n", + "10111 6 \n", + "10112 2 \n", + "10113 4 \n", + " (Total: 6)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Show all the orders made in March 2003 and the total number of items on each\n", + "(Order & 'order_date between \"2003-03-01\" and \"2003-03-31\"').aggr(Order.Item(), n='count(*)', keep_all_rows=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

reports_to

\n", + " \n", + "
\n", + "

n

\n", + " calculated attribute\n", + "
10022
10564
10883
11026
11436
16211
\n", + " \n", + "

Total: 6

\n", + " " + ], + "text/plain": [ + "*reports_to n \n", + "+------------+ +---+\n", + "1002 2 \n", + "1056 4 \n", + "1088 3 \n", + "1102 6 \n", + "1143 6 \n", + "1621 1 \n", + " (Total: 6)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# SHOW ALL the employees, the number of their direct reports\n", + "\n", + "Employee.proj(reports_to='employee_number').aggr(Report, n='count(employee_number)')" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "23 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
employee_numberfirst_namelast_namen
1002DianeMurphy2
1056MaryPatterson4
1076JeffFirrelli0
1088WilliamPatterson3
1102GerardBondur6
1143AnthonyBow6
1165LeslieJennings0
1166LeslieThompson0
1188JulieFirrelli0
1216StevePatterson0
1286Foon YueTseng0
1323GeorgeVanauf0
1337LouiBondur0
1370GerardHernandez0
1401PamelaCastillo0
1501LarryBott0
1504BarryJones0
1611AndyFixter0
1612PeterMarsh0
1619TomKing0
1621MamiNishi1
1625YoshimiKato0
1702MartinGerard0
" + ], + "text/plain": [ + "[(1002, 'Diane', 'Murphy', 2),\n", + " (1056, 'Mary', 'Patterson', 4),\n", + " (1076, 'Jeff', 'Firrelli', 0),\n", + " (1088, 'William', 'Patterson', 3),\n", + " (1102, 'Gerard', 'Bondur', 6),\n", + " (1143, 'Anthony', 'Bow', 6),\n", + " (1165, 'Leslie', 'Jennings', 0),\n", + " (1166, 'Leslie', 'Thompson', 0),\n", + " (1188, 'Julie', 'Firrelli', 0),\n", + " (1216, 'Steve', 'Patterson', 0),\n", + " (1286, 'Foon Yue', 'Tseng', 0),\n", + " (1323, 'George', 'Vanauf', 0),\n", + " (1337, 'Loui', 'Bondur', 0),\n", + " (1370, 'Gerard', 'Hernandez', 0),\n", + " (1401, 'Pamela', 'Castillo', 0),\n", + " (1501, 'Larry', 'Bott', 0),\n", + " (1504, 'Barry', 'Jones', 0),\n", + " (1611, 'Andy', 'Fixter', 0),\n", + " (1612, 'Peter', 'Marsh', 0),\n", + " (1619, 'Tom', 'King', 0),\n", + " (1621, 'Mami', 'Nishi', 1),\n", + " (1625, 'Yoshimi', 'Kato', 0),\n", + " (1702, 'Martin', 'Gerard', 0)]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "use classicsales;\n", + "\n", + "SELECT employee.employee_number, first_name, last_name, count(report.employee_number) as n \n", + "FROM employee LEFT JOIN report ON (employee.employee_number = report.reports_to)\n", + "GROUP BY employee.employee_number" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "39 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
employee_numberfirst_namelast_namesubordinate
1002DianeMurphy1056
1002DianeMurphy1076
1056MaryPatterson1088
1056MaryPatterson1102
1056MaryPatterson1143
1056MaryPatterson1621
1076JeffFirrelliNone
1088WilliamPatterson1611
1088WilliamPatterson1612
1088WilliamPatterson1619
1102GerardBondur1337
1102GerardBondur1370
1102GerardBondur1401
1102GerardBondur1501
1102GerardBondur1504
1102GerardBondur1702
1143AnthonyBow1165
1143AnthonyBow1166
1143AnthonyBow1188
1143AnthonyBow1216
1143AnthonyBow1286
1143AnthonyBow1323
1165LeslieJenningsNone
1166LeslieThompsonNone
1188JulieFirrelliNone
1216StevePattersonNone
1286Foon YueTsengNone
1323GeorgeVanaufNone
1337LouiBondurNone
1370GerardHernandezNone
1401PamelaCastilloNone
1501LarryBottNone
1504BarryJonesNone
1611AndyFixterNone
1612PeterMarshNone
1619TomKingNone
1621MamiNishi1625
1625YoshimiKatoNone
1702MartinGerardNone
" + ], + "text/plain": [ + "[(1002, 'Diane', 'Murphy', 1056),\n", + " (1002, 'Diane', 'Murphy', 1076),\n", + " (1056, 'Mary', 'Patterson', 1088),\n", + " (1056, 'Mary', 'Patterson', 1102),\n", + " (1056, 'Mary', 'Patterson', 1143),\n", + " (1056, 'Mary', 'Patterson', 1621),\n", + " (1076, 'Jeff', 'Firrelli', None),\n", + " (1088, 'William', 'Patterson', 1611),\n", + " (1088, 'William', 'Patterson', 1612),\n", + " (1088, 'William', 'Patterson', 1619),\n", + " (1102, 'Gerard', 'Bondur', 1337),\n", + " (1102, 'Gerard', 'Bondur', 1370),\n", + " (1102, 'Gerard', 'Bondur', 1401),\n", + " (1102, 'Gerard', 'Bondur', 1501),\n", + " (1102, 'Gerard', 'Bondur', 1504),\n", + " (1102, 'Gerard', 'Bondur', 1702),\n", + " (1143, 'Anthony', 'Bow', 1165),\n", + " (1143, 'Anthony', 'Bow', 1166),\n", + " (1143, 'Anthony', 'Bow', 1188),\n", + " (1143, 'Anthony', 'Bow', 1216),\n", + " (1143, 'Anthony', 'Bow', 1286),\n", + " (1143, 'Anthony', 'Bow', 1323),\n", + " (1165, 'Leslie', 'Jennings', None),\n", + " (1166, 'Leslie', 'Thompson', None),\n", + " (1188, 'Julie', 'Firrelli', None),\n", + " (1216, 'Steve', 'Patterson', None),\n", + " (1286, 'Foon Yue', 'Tseng', None),\n", + " (1323, 'George', 'Vanauf', None),\n", + " (1337, 'Loui', 'Bondur', None),\n", + " (1370, 'Gerard', 'Hernandez', None),\n", + " (1401, 'Pamela', 'Castillo', None),\n", + " (1501, 'Larry', 'Bott', None),\n", + " (1504, 'Barry', 'Jones', None),\n", + " (1611, 'Andy', 'Fixter', None),\n", + " (1612, 'Peter', 'Marsh', None),\n", + " (1619, 'Tom', 'King', None),\n", + " (1621, 'Mami', 'Nishi', 1625),\n", + " (1625, 'Yoshimi', 'Kato', None),\n", + " (1702, 'Martin', 'Gerard', None)]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "\n", + "SELECT employee.employee_number, first_name, last_name, report.employee_number as subordinate \n", + "FROM employee LEFT JOIN report ON (employee.employee_number = report.reports_to)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [] } ], "metadata": { From 2fe820a3ae794ee75f44bb807ccc04354131b439 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 7 Nov 2023 22:36:20 +0000 Subject: [PATCH 28/33] add Transactions, Defaults, DesignPatterns --- db-course/008-Default.ipynb | 310 ++ db-course/008-Transactions.ipynb | 2070 +++++++++ db-course/009-DesignPatterns.ipynb | 6515 ++++++++++++++++++++++++++++ db-course/EntityIntegrity.ipynb | 718 --- db-course/Groups.ipynb | 1221 ------ 5 files changed, 8895 insertions(+), 1939 deletions(-) create mode 100644 db-course/008-Default.ipynb create mode 100644 db-course/008-Transactions.ipynb create mode 100644 db-course/009-DesignPatterns.ipynb delete mode 100644 db-course/EntityIntegrity.ipynb delete mode 100644 db-course/Groups.ipynb diff --git a/db-course/008-Default.ipynb b/db-course/008-Default.ipynb new file mode 100644 index 0000000..ade0a0c --- /dev/null +++ b/db-course/008-Default.ipynb @@ -0,0 +1,310 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "414f0fb5", + "metadata": {}, + "source": [ + "# Missing and default values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "28e327d8", + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj\n", + "import faker\n", + "fake = faker.Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64f6506d", + "metadata": {}, + "outputs": [], + "source": [ + "fake.profile()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.Schema('defaults')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f66841e", + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int\n", + " ---\n", + " blood_group = \"unknown\" : enum('A+', 'A-', 'AB+', 'AB-', 'B+', 'B-', 'O+', 'O-', \"unknown\")\n", + " name : varchar(60)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f54ddeac", + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert1(dict(person_id=3, **fake.profile()), ignore_extra_fields=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f610d0c", + "metadata": {}, + "outputs": [], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4fb4eb3f", + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert1(dict(person_id=5, name=\"heywood\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "Person.insert1(dict(person_id=6, blood_group=None, name=\"Henrietta Lacks\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "4e8b7522", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

person_id

\n", + " \n", + "
\n", + "

blood_group

\n", + " \n", + "
\n", + "

name

\n", + " \n", + "
3O+Rachel Wilson
5unknownheywood
6unknownHenrietta Lacks
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*person_id blood_group name \n", + "+-----------+ +------------+ +------------+\n", + "3 O+ Rachel Wilson \n", + "5 unknown heywood \n", + "6 unknown Henrietta Lack\n", + " (Total: 3)" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Person()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "83844f42", + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql \n", + "conn = pymysql.connect(user='root', passwd='simple', host='127.0.0.1')\n", + "cursor = conn.cursor()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "47686e7a", + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute('SHOW CREATE TABLE defaults.person')\n", + "print(cursor.fetchone()[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e2ac8cd0", + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "INSERT defaults.person (person_id, blood_group, name) VALUES (2, \"O+\", \"anne\")\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b1c8980", + "metadata": {}, + "outputs": [], + "source": [ + "cursor.execute(\"\"\"\n", + "INSERT defaults.person (person_id, blood_group) VALUES (4, \"B+\")\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "3ac55ecb", + "metadata": {}, + "outputs": [ + { + "ename": "IntegrityError", + "evalue": "(1048, \"Column 'blood_group' cannot be null\")", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mIntegrityError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[31], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m cursor\u001b[39m.\u001b[39;49mexecute(\u001b[39m\"\"\"\u001b[39;49m\n\u001b[1;32m 2\u001b[0m \u001b[39mINSERT defaults.person (person_id, blood_group, name) VALUES (1, NULL, \u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mbob\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m)\u001b[39;49m\n\u001b[1;32m 3\u001b[0m \u001b[39m\"\"\"\u001b[39;49m)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py:153\u001b[0m, in \u001b[0;36mCursor.execute\u001b[0;34m(self, query, args)\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[39mpass\u001b[39;00m\n\u001b[1;32m 151\u001b[0m query \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmogrify(query, args)\n\u001b[0;32m--> 153\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_query(query)\n\u001b[1;32m 154\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_executed \u001b[39m=\u001b[39m query\n\u001b[1;32m 155\u001b[0m \u001b[39mreturn\u001b[39;00m result\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/cursors.py:322\u001b[0m, in \u001b[0;36mCursor._query\u001b[0;34m(self, q)\u001b[0m\n\u001b[1;32m 320\u001b[0m conn \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_db()\n\u001b[1;32m 321\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_clear_result()\n\u001b[0;32m--> 322\u001b[0m conn\u001b[39m.\u001b[39;49mquery(q)\n\u001b[1;32m 323\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_do_get_result()\n\u001b[1;32m 324\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrowcount\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:558\u001b[0m, in \u001b[0;36mConnection.query\u001b[0;34m(self, sql, unbuffered)\u001b[0m\n\u001b[1;32m 556\u001b[0m sql \u001b[39m=\u001b[39m sql\u001b[39m.\u001b[39mencode(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mencoding, \u001b[39m\"\u001b[39m\u001b[39msurrogateescape\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 557\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_execute_command(COMMAND\u001b[39m.\u001b[39mCOM_QUERY, sql)\n\u001b[0;32m--> 558\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_affected_rows \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_read_query_result(unbuffered\u001b[39m=\u001b[39;49munbuffered)\n\u001b[1;32m 559\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_affected_rows\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:822\u001b[0m, in \u001b[0;36mConnection._read_query_result\u001b[0;34m(self, unbuffered)\u001b[0m\n\u001b[1;32m 820\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 821\u001b[0m result \u001b[39m=\u001b[39m MySQLResult(\u001b[39mself\u001b[39m)\n\u001b[0;32m--> 822\u001b[0m result\u001b[39m.\u001b[39;49mread()\n\u001b[1;32m 823\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result \u001b[39m=\u001b[39m result\n\u001b[1;32m 824\u001b[0m \u001b[39mif\u001b[39;00m result\u001b[39m.\u001b[39mserver_status \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:1200\u001b[0m, in \u001b[0;36mMySQLResult.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1198\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mread\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m 1199\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m-> 1200\u001b[0m first_packet \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mconnection\u001b[39m.\u001b[39;49m_read_packet()\n\u001b[1;32m 1202\u001b[0m \u001b[39mif\u001b[39;00m first_packet\u001b[39m.\u001b[39mis_ok_packet():\n\u001b[1;32m 1203\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_read_ok_packet(first_packet)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/connections.py:772\u001b[0m, in \u001b[0;36mConnection._read_packet\u001b[0;34m(self, packet_type)\u001b[0m\n\u001b[1;32m 770\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result\u001b[39m.\u001b[39munbuffered_active \u001b[39mis\u001b[39;00m \u001b[39mTrue\u001b[39;00m:\n\u001b[1;32m 771\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_result\u001b[39m.\u001b[39munbuffered_active \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n\u001b[0;32m--> 772\u001b[0m packet\u001b[39m.\u001b[39;49mraise_for_error()\n\u001b[1;32m 773\u001b[0m \u001b[39mreturn\u001b[39;00m packet\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/protocol.py:221\u001b[0m, in \u001b[0;36mMysqlPacket.raise_for_error\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[39mif\u001b[39;00m DEBUG:\n\u001b[1;32m 220\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39merrno =\u001b[39m\u001b[39m\"\u001b[39m, errno)\n\u001b[0;32m--> 221\u001b[0m err\u001b[39m.\u001b[39;49mraise_mysql_exception(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_data)\n", + "File \u001b[0;32m/usr/local/lib/python3.9/site-packages/pymysql/err.py:143\u001b[0m, in \u001b[0;36mraise_mysql_exception\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[39mif\u001b[39;00m errorclass \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 142\u001b[0m errorclass \u001b[39m=\u001b[39m InternalError \u001b[39mif\u001b[39;00m errno \u001b[39m<\u001b[39m \u001b[39m1000\u001b[39m \u001b[39melse\u001b[39;00m OperationalError\n\u001b[0;32m--> 143\u001b[0m \u001b[39mraise\u001b[39;00m errorclass(errno, errval)\n", + "\u001b[0;31mIntegrityError\u001b[0m: (1048, \"Column 'blood_group' cannot be null\")" + ] + } + ], + "source": [ + "cursor.execute(\"\"\"\n", + "INSERT defaults.person (person_id, blood_group, name) VALUES (1, NULL, 'bob')\n", + "\"\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/db-course/008-Transactions.ipynb b/db-course/008-Transactions.ipynb new file mode 100644 index 0000000..61a3d3c --- /dev/null +++ b/db-course/008-Transactions.ipynb @@ -0,0 +1,2070 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Transactions\n", + "\n", + "Some sequences of operations must be performed carefully with isolation from outside interventions and must not be left incomplete.\n", + "\n", + "- A = Atomic\n", + "- C = Consistent\n", + "- I = Isolated\n", + "- D = Durable\n", + "\n", + "\n", + "Transaction serialization: operations performed concurrently but ensuring the same effect if they were executed sequentially." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from faker import Faker\n", + "fake = Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-11-07 22:17:16,481][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-11-07 22:17:16,488][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "import datajoint as dj\n", + "schema = dj.Schema('bank')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Account(dj.Manual):\n", + " definition = \"\"\"\n", + " account_number : int\n", + " ---\n", + " customer_name : varchar(60) \n", + " balance : decimal(9, 2)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "Account.insert(\n", + " dict(\n", + " account_number=fake.random.randint(10_000_000, 99_999_999),\n", + " customer_name=fake.name(),\n", + " balance=fake.random.randint(0, 100_000_00)/100)\n", + " for i in range(100))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

account_number

\n", + " \n", + "
\n", + "

customer_name

\n", + " \n", + "
\n", + "

balance

\n", + " \n", + "
10067554Patrick Juarez49454.82
11158721Alisha Weiss76428.03
11191456Courtney Flynn93467.36
11302451Jeffrey Murray69825.81
11496037Brittany Velazquez8272.43
11817010Marcia Chen24325.38
12058107Rodney West88034.24
12224361Brittany Rangel33580.56
12279407Alfred Smith29637.98
12280075Desiree Fox89808.15
13477906Keith Bell48826.15
13695945Angelica Brooks51833.25
\n", + "

...

\n", + "

Total: 200

\n", + " " + ], + "text/plain": [ + "*account_numbe customer_name balance \n", + "+------------+ +------------+ +----------+\n", + "10067554 Patrick Juarez 49454.82 \n", + "11158721 Alisha Weiss 76428.03 \n", + "11191456 Courtney Flynn 93467.36 \n", + "11302451 Jeffrey Murray 69825.81 \n", + "11496037 Brittany Velaz 8272.43 \n", + "11817010 Marcia Chen 24325.38 \n", + "12058107 Rodney West 88034.24 \n", + "12224361 Brittany Range 33580.56 \n", + "12279407 Alfred Smith 29637.98 \n", + "12280075 Desiree Fox 89808.15 \n", + "13477906 Keith Bell 48826.15 \n", + "13695945 Angelica Brook 51833.25 \n", + " ...\n", + " (Total: 200)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "keys = Account.fetch('KEY')\n", + "account1 = fake.random.choice(keys)\n", + "account2 = fake.random.choice(keys)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "({'account_number': 61340350}, {'account_number': 51596516})" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "account1, account2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def transfer_bad(account1, account2, amount):\n", + " \n", + " current_balance = (Account & account1).fetch1('balance')\n", + " if current_balance < amount:\n", + " raise RuntimeError('Insufficient funds')\n", + "\n", + " Account.update1(dict(account1, balance=float(current_balance) - amount))\n", + "\n", + " b = (Account & account2).fetch1('balance')\n", + " \n", + " Account.update1(dict(account2, balance= float(b) + amount))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def transfer_good(account1, account2, amount):\n", + " \n", + " conn = dj.conn()\n", + " with conn.transaction:\n", + "\n", + " current_balance = (Account & account1).fetch1('balance')\n", + " if current_balance < amount:\n", + " raise RuntimeError('Insufficient funds')\n", + "\n", + " Account.update1(dict(account1, balance=float(current_balance) - amount))\n", + "\n", + " b = (Account & account2).fetch1('balance')\n", + " \n", + " Account.update1(dict(account2, balance= float(b) + amount))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

account_number

\n", + " \n", + "
\n", + "

customer_name

\n", + " \n", + "
\n", + "

balance

\n", + " \n", + "
51596516Travis White44895.36
61340350Brian Lopez11877.72
\n", + " \n", + "

Total: 2

\n", + " " + ], + "text/plain": [ + "*account_numbe customer_name balance \n", + "+------------+ +------------+ +----------+\n", + "51596516 Travis White 44895.36 \n", + "61340350 Brian Lopez 11877.72 \n", + " (Total: 2)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & [account1, account2]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "transfer(account1, account2, 100.00)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "
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account_number

\n", + " \n", + "
\n", + "

customer_name

\n", + " \n", + "
\n", + "

balance

\n", + " \n", + "
51596516Travis White44995.36
61340350Brian Lopez11777.72
\n", + " \n", + "

Total: 2

\n", + " " + ], + "text/plain": [ + "*account_numbe customer_name balance \n", + "+------------+ +------------+ +----------+\n", + "51596516 Travis White 44995.36 \n", + "61340350 Brian Lopez 11777.72 \n", + " (Total: 2)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Account & [account1, account2] " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "use bank;\n", + "\n", + "SHOW CREATE TABLE account;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "SELECT * FROM account;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "\n", + "BEGIN TRANSACTION;\n", + " \n", + " UPDATE account SET balance = balance + 100\n", + " WHERE account = 98230343;\n", + " \n", + " \n", + " UPDATE account SET balance = balance - 100\n", + " WHERE account 95440048;\n", + "\n", + "COMMIT" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "conn = pymysql.connect(user='root', host='127.0.0.1', password=\"simple\", autocommit=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cursor = conn.cursor()\n", + "cursor.execute(\"\"\"\n", + " SELECT balance FROM bank.account \n", + " WHERE account_number = %s\n", + " \"\"\", (account1[\"account_number\"],))\n", + "\n", + "amount = 100\n", + "\n", + "current_balance = cursor.fetchone()\n", + "\n", + "cursor.execute(\"\"\"\n", + " UPDATE bank.account \n", + " SET balance = balance - %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account1[\"account_number\"],))\n", + "\n", + "cursor.execute(\"\"\"\n", + " UPDATE bank.account \n", + " SET balance = balance + %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account2[\"account_number\"],))\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "def transfer(cursor, account1, account2, amount):\n", + " \n", + " cursor.execute(\"BEGIN TRANSACTION\")\n", + " \n", + " try:\n", + " cursor.execute(\"\"\"\n", + " SELECT balance FROM bank.account \n", + " WHERE account_number = %s\n", + " \"\"\", (account1[\"account_number\"],))\n", + "\n", + " current_balance = cursor.fetchone()\n", + "\n", + " if current_balance < amount:\n", + " raise RuntimeError('Insufficient funds')\n", + "\n", + " cursor.execute(\"\"\"\n", + " UPDATE shared_bank.account \n", + " SET balance = balance - %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account1[\"account_number\"],))\n", + "\n", + " cursor.execute(\"\"\"\n", + " UPDATE shared_bank.account \n", + " SET balance = balance + %s\n", + " WHERE account_number = %s\n", + " \"\"\", (amount, account2[\"account_number\"],))\n", + " \n", + " except: \n", + " cursor.execute('CANCEL TRANSACTION')\n", + " raise\n", + " \n", + " else:\n", + " cursor.execute('COMMIT')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Design Patterns\n", + "\n", + "- Sequence\n", + " * workflows\n", + "- Specialization / Generalization\n", + " * student / faculty / staff\n", + "- Hierarchies\n", + " * Ownership\n", + " * Using composite primary keys\n", + " * Secondary keys\n", + "- Parameterization\n", + " * \n", + "- Associations\n", + " * Many-to-many relationships\n", + " * Directed graphs \n", + " * Trees\n", + " * Undirected graphs\n", + "- Master-part\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.schema('dimitri_patterns')\n", + "schema.drop()\n", + "schema = dj.schema('dimitri_patterns')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Sequence / Workflows" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# E.g. order / shipment / confirmation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Order(dj.Manual):\n", + " definition = \"\"\"\n", + " order_number : int\n", + " ---\n", + " order_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Shipment(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Order\n", + " ---\n", + " ship_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Confirm(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Shipment\n", + " ---\n", + " confirm_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Order * Shipment * Confirm" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Order2(dj.Manual):\n", + " definition = \"\"\"\n", + " order_number : int\n", + " ---\n", + " order_date : date\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Shipment2(dj.Manual):\n", + " definition = \"\"\"\n", + " shipment_id : int\n", + " ---\n", + " ->[unique] Order2\n", + " ship_date : date\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Confirm2(dj.Manual):\n", + " definition = \"\"\"\n", + " confirm_id : int\n", + " ---\n", + " -> [unique] Shipment2\n", + " confirm_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Order * Confirm" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Order * Shipment * Confirm " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Two ways to model hierarchies\n", + "\n", + "## Approach 1: Simple primary keys with secondary dependencies" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subject(dj.Manual):\n", + " definition = \"\"\"\n", + " # Experiment Subject\n", + " subject_id : int\n", + " ---\n", + " species = 'mouse' : enum('human', 'mouse', 'rat', 'worm')\n", + " sex : enum('F', 'M', 'unknown')\n", + " \"\"\"\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Subject()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Subject.insert1(dict(subject_id=1, species=\"human\", sex=\"unknown\"), skip_duplicates=True)\n", + "Subject.insert1(dict(subject_id=2, species=\"mouse\", sex=\"F\"), skip_duplicates=True)\n", + "Subject.insert1(dict(subject_id=3, species=\"worm\", sex=\"M\"), skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Session(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Subject\n", + " session : int\n", + " ---\n", + " session_timestamp = CURRENT_TIMESTAMP : timestamp\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Session.insert1(dict(session=1, subject_id=2), skip_duplicates=True)\n", + "Session.insert1(dict(session=2, subject_id=2), skip_duplicates=True)\n", + "Session.insert1(dict(session=3, subject_id=3), skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Session()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Scan(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Session\n", + " scan_id : int\n", + " ---\n", + " laser_power : float # mW\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Scan()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Scan.insert1(dict(subject_id=2, scan_id=1, session=1, laser_power=3200))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Cell(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Scan\n", + " cell_id : int\n", + " ---\n", + " cell_type : enum('E', 'I') # excitatory or inhibitory\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me excitatory cells for all males" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Cell & (Subject & {'sex': \"M\"})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subject2(dj.Manual):\n", + " definition = \"\"\"\n", + " # Experiment Subject\n", + " subject_id : int\n", + " ---\n", + " species = 'mouse' : enum('human', 'mouse', 'rat', 'worm')\n", + " sex : enum('F', 'M', 'unknown')\n", + " \"\"\"\n", + "\n", + "@schema\n", + "class Session2(dj.Manual):\n", + " definition = \"\"\"\n", + " session : int\n", + " ---\n", + " -> Subject2\n", + " session_timestamp = CURRENT_TIMESTAMP : timestamp\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Scan2(dj.Manual):\n", + " definition = \"\"\"\n", + " scan_id : int\n", + " ---\n", + " -> Session2\n", + " laser_power : float # mW\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Cell2(dj.Manual):\n", + " definition = \"\"\"\n", + " cell_id : int\n", + " ---\n", + " -> Scan2\n", + " cell_type : enum('E', 'I') # excitatory or inhibitory\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Cell.insert1(dict(cell_id=1, scan_id=1, cell_type=\"E\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Cell()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me cells for subject_id=1\n", + "\n", + "Cell2 & (Scan2 & (Session2 & 'subject_id=2'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me cells for all males\n", + "\n", + "(Cell2 & (Scan2 & (Session2 & (Subject2 & 'sex=\"M\"')))).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "(Cell & (Subject & 'sex=\"M\"')).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Parameterization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Image(dj.Manual):\n", + " definition = \"\"\"\n", + " image_id : int\n", + " ---\n", + " image : longblob\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class EnhanceMethod(dj.Lookup):\n", + " definition = \"\"\"\n", + " enhance_method : int\n", + " ---\n", + " method_name : varchar(16)\n", + " \"\"\"\n", + " \n", + " contents = ((1, \"sharpen\"), (2, \"contrast\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class EnhancedImage(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Image\n", + " -> EnhanceMethod\n", + " ---\n", + " enhanced_image : longblob\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Association \n", + "\n", + "Books and authors\n", + "\n", + "Checking accounts and account owners" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Book(dj.Manual):\n", + " definition = \"\"\"\n", + " isbn : int\n", + " ---\n", + " title : varchar(300)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Author(dj.Manual):\n", + " definition = \"\"\"\n", + " author_id : int\n", + " ---\n", + " name : varchar(300)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class AuthorBook(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Author\n", + " -> Book\n", + " ---\n", + " order : tinyint unsigned \n", + " unique index(isbn, order)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Generalization / specialization\n", + "\n", + "Employee, student, instructor" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int\n", + " ---\n", + " date_of_birth : date\n", + " gender : enum(\"male\", \"female\", \"unknown\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Employee(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " hire_date : date \n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Instructor(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Employee\n", + " ---\n", + " department : varchar(30)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " admission_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Directed graphs " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subordinate(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Employee\n", + " ---\n", + " -> Employee.proj(manager_id=\"person_id\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Neuron(dj.Manual):\n", + " definition = \"\"\"\n", + " neuron : int\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Synapse(dj.Manual):\n", + " definition = \"\"\"\n", + " synapse_id : int\n", + " ---\n", + " -> Neuron.proj(pre=\"neuron\")\n", + " -> Neuron.proj(post=\"neuron\") \n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```sql\n", + "\n", + "CREATE TABLE managed_by (\n", + " person_id : int NOT NULL,\n", + " manager_id : int NOT NULL,\n", + " \n", + " PRIMARY KEY (person_id),\n", + " \n", + " FOREIGN KEY (person_id) REFERENCES employee (person_id),\n", + " FOREIGN KEY (manager_id) reference employee (person_id))\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Undirected graphs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# direcated friendship = full directed graph capability\n", + "@schema\n", + "class Friendship(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person.proj(friend1 = \"person_id\")\n", + " -> Person.proj(friend2 = \"person_id\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Order(dj.Manual):\n", + " definition = \"\"\"\n", + " order_id : int\n", + " ---\n", + " order_date : date\n", + " \"\"\"\n", + " \n", + " class Item(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " order_item : int\n", + " ---\n", + " \n", + " \"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Puzzle: \n", + "Cities and states.\n", + "1. Each city belongs to one state. \n", + "2. Each state has one capital.\n", + "3. A capital is a city.\n", + "4. A capital must be in the same state. \n", + "\n", + "* Tables\n", + "* Primary keys\n", + "* Foreign keys" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class State(dj.Manual):\n", + " definition = \"\"\"\n", + " st : char(2)\n", + " ---\n", + " state : varchar(30)\n", + " \"\"\"\n", + "\n", + "State.insert((\n", + " (\"WA\", \"Washington\"),\n", + " (\"TX\", \"Texas\"),\n", + " (\"AK\", \"Alaska\"),\n", + " (\"LA\", \"Louisiana\")\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class City(dj.Manual):\n", + " definition = \"\"\"\n", + " -> State\n", + " city_name : varchar(30)\n", + " ---\n", + " capital = null : enum(\"YES\")\n", + " unique index(st, capital)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "City.delete_quick()\n", + "\n", + "City.insert1((\"WA\", \"Seattle\", None))\n", + "City.insert1((\"TX\", \"Austin\", \"YES\"))\n", + "City.insert1((\"TX\", \"Houston\", None))\n", + "City.insert1((\"WA\", \"Olympia\", \"YES\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "City()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class State2(dj.Manual):\n", + " definition = \"\"\"\n", + " state : char (2)\n", + " ---\n", + " state_name : varchar(30)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class City2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> State2\n", + " city_name : varchar(30)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Capital2(dj.Manual):\n", + " definition = \"\"\"\n", + " -> State2\n", + " ---\n", + " -> City2\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "State2.delete_quick()\n", + "City2.delete_quick()\n", + "\n", + "State2.insert((\n", + " (\"WA\", \"Washington\"),\n", + " (\"TX\", \"Texas\"),\n", + " (\"AK\", \"Alaska\"),\n", + " (\"LA\", \"Louisiana\")\n", + "))\n", + "\n", + "City2.insert1((\"WA\", \"Seattle\"))\n", + "City2.insert1((\"TX\", \"Austin\"))\n", + "City2.insert1((\"TX\", \"Houston\"))\n", + "City2.insert1((\"WA\", \"Olympia\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Capital2.insert1((\"TX\", \"Austin\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Capital2.insert1((\"TX\", \"Houston\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "City2()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In SQL \n", + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2) NOT NULL,\n", + " state_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state))\n", + " \n", + "CREATE TABLE city (\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state, city_name),\n", + " FOREIGN KEY (state) REFERENCES state(state))\n", + "\n", + "CREATE TABLE capital (\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state),\n", + " FOREIGN KEY (state, city_name) REFERENCES city (state, city_name))\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2),\n", + " state_name varchar(30),\n", + " capital varchar(30),\n", + " PRIMARY KEY (state),\n", + " FOREIGN KEY (state, capital) REFERENCES city (state, city_name))\n", + " \n", + "CREATE TABLE city (\n", + " state char(2),\n", + " city_name varchar(30),\n", + " PRIMARY KEY (state, city_name))\n", + " FOREIGN KEY (state) REFERENCES state(state)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In SQL \n", + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2) NOT NULL,\n", + " state_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state))\n", + " \n", + "CREATE TABLE city (\n", + " city_id int NOT NULL,\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " is_capital enum('yes'),\n", + " PRIMARY KEY (state_id),\n", + " UNIQUE INDEX(state, is_capital),\n", + " FOREIGN KEY (state) REFERENCES state(state))\n", + "```\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Problem \n", + "\n", + "Model a vet clinic. \n", + "\n", + "1. Customers bring in pets. Customers are identified by their cell phones. Pets are identified by their nicknames for that customer.\n", + "\n", + "2. Pets have a date of birth, species, and date of birth.\n", + "\n", + "3. Pets have a list of vaccinations that must be performed for their species.\n", + "\n", + "4. Pets have vaccination administration, shot date. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "schema = dj.Schema('shared_vet')\n", + "schema.drop()\n", + "schema = dj.Schema('shared_vet')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Owner(dj.Manual):\n", + " definition = \"\"\"\n", + " cell_phone : char(10) \n", + " ---\n", + " full_name : varchar(16)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Species(dj.Lookup):\n", + " definition = \"\"\"\n", + " species : varchar(30)\n", + " \"\"\"\n", + " contents = (('cat',), ('dog',), ('ferret',), ('parrot',))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Species()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Pet(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Owner\n", + " -> Species\n", + " nickname : varchar(30)\n", + " ---\n", + " birthdate : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class RequiredVaccine(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Species\n", + " vaccine : varchar(10)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Shot(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Pet\n", + " -> RequiredVaccine\n", + " ---\n", + " shot_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Shot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```sql\n", + "create table shot (\n", + " cell_phone char(10) NOT NULL,\n", + " nickname varchar(16) NOT NULL,\n", + " species varchar(20) NOT NULL,\n", + " vaccine varchar(10) NOT NULL,\n", + " PRIMARY KEY (cell_phone, nickname, species, vaccine),\n", + " FOREIGN KEY (cell_phone, nickname, species) REFERENCES pet(cell_phone, nickname, species),\n", + " FOREIGN KEY (species, vaccine) REFERENCES required_vaccine(species, vaccine)\n", + ")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Homework homework\n", + "\n", + "Homework assignments, students, grades\n", + "\n", + "1. Homework is given with a due date.\n", + "2. Students submit homework, we record the submit date\n", + "3. Submitted homework gets a grade\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Assignment(dj.Manual):\n", + " definition = \"\"\"\n", + " assignment : int\n", + " ---\n", + " due_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema \n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " student_id : int\n", + " ---\n", + " student_name : varchar(30)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Submission(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " -> Assignment\n", + " ---\n", + " submit_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Grade(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Submission\n", + " ---\n", + " grade : char(1)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Messaging App (Slack, Telegram, Signal)\n", + "\n", + "1. Users can create channels. Each channel belongs to one user.\n", + "3. Channel names are globally unique\n", + "2. A user can create a post in their channels only\n", + "3. A user can be a guest in another person's channel.\n", + "4. Guest can reply to posts\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class User(dj.Manual):\n", + " definition = \"\"\"\n", + " username : varchar(12)\n", + " ---\n", + " irl_name : varchar(30)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Channel(dj.Manual):\n", + " definition = \"\"\"\n", + " channel : varchar(12)\n", + " ---\n", + " -> User\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Guest(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Channel\n", + " -> User\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Post(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Channel\n", + " post : int\n", + " ---\n", + " message : varchar(1024)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Post * Channel" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Response(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Post\n", + " -> Guest\n", + " ---\n", + " response : varchar(1024)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/db-course/009-DesignPatterns.ipynb b/db-course/009-DesignPatterns.ipynb new file mode 100644 index 0000000..52ce344 --- /dev/null +++ b/db-course/009-DesignPatterns.ipynb @@ -0,0 +1,6515 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Design Patterns\n", + "\n", + "- Sequence\n", + " * workflows\n", + "- Specialization / Generalization\n", + " * student / faculty / staff\n", + "- Hierarchies\n", + " * Ownership\n", + " * Using composite primary keys\n", + " * Secondary keys\n", + "- Parameterization\n", + " * \n", + "- Associations\n", + " * Many-to-many relationships\n", + " * Directed graphs \n", + " * Trees\n", + " * Undirected graphs\n", + "- Master-part\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proceed to delete entire schema `dimitri_patterns`? [yes, No]: yes\n" + ] + } + ], + "source": [ + "schema = dj.schema('dimitri_patterns')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Sequence / Workflows" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# E.g. order / shipment / confirmation" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Order(dj.Manual):\n", + " definition = \"\"\"\n", + " order_number : int\n", + " ---\n", + " order_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Shipment(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Order\n", + " ---\n", + " ship_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Confirm(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Shipment\n", + " ---\n", + " confirm_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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mW\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Cell2(dj.Manual):\n", + " definition = \"\"\"\n", + " cell_id : int\n", + " ---\n", + " -> Scan2\n", + " cell_type : enum('E', 'I') # excitatory or inhibitory\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "ename": "MissingAttributeError", + "evalue": "Field 'subject_id' doesn't have a default value", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mMissingAttributeError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [53]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mCell\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert1\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mcell_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscan_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcell_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mE\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:334\u001b[0m, in \u001b[0;36mTable.insert1\u001b[0;34m(self, row, **kwargs)\u001b[0m\n\u001b[1;32m 327\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minsert1\u001b[39m(\u001b[38;5;28mself\u001b[39m, row, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 328\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 329\u001b[0m \u001b[38;5;124;03m Insert one data record into the table. For ``kwargs``, see ``insert()``.\u001b[39;00m\n\u001b[1;32m 330\u001b[0m \n\u001b[1;32m 331\u001b[0m \u001b[38;5;124;03m :param row: a numpy record, a dict-like object, or an ordered sequence to be inserted\u001b[39;00m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;124;03m as one row.\u001b[39;00m\n\u001b[1;32m 333\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 334\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:430\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 415\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{command}\u001b[39;00m\u001b[38;5;124m INTO \u001b[39m\u001b[38;5;132;01m{destination}\u001b[39;00m\u001b[38;5;124m(`\u001b[39m\u001b[38;5;132;01m{fields}\u001b[39;00m\u001b[38;5;124m`) VALUES \u001b[39m\u001b[38;5;132;01m{placeholders}\u001b[39;00m\u001b[38;5;132;01m{duplicate}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m 416\u001b[0m command\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mREPLACE\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m replace \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mINSERT\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 417\u001b[0m destination\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfrom_clause(),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 428\u001b[0m ),\n\u001b[1;32m 429\u001b[0m )\n\u001b[0;32m--> 430\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquery\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 431\u001b[0m \u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 432\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 433\u001b[0m \u001b[43m \u001b[49m\u001b[43mitertools\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchain\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_iterable\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 434\u001b[0m \u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mr\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mvalues\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mr\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrows\u001b[49m\n\u001b[1;32m 435\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 436\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 437\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 438\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m UnknownAttributeError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 439\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\u001b[38;5;241m.\u001b[39msuggest(\n\u001b[1;32m 440\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 441\u001b[0m )\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/connection.py:340\u001b[0m, in \u001b[0;36mConnection.query\u001b[0;34m(self, query, args, as_dict, suppress_warnings, reconnect)\u001b[0m\n\u001b[1;32m 338\u001b[0m cursor \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_conn\u001b[38;5;241m.\u001b[39mcursor(cursor\u001b[38;5;241m=\u001b[39mcursor_class)\n\u001b[1;32m 339\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 340\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_query\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcursor\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msuppress_warnings\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 341\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m errors\u001b[38;5;241m.\u001b[39mLostConnectionError:\n\u001b[1;32m 342\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m reconnect:\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/connection.py:296\u001b[0m, in \u001b[0;36mConnection._execute_query\u001b[0;34m(cursor, query, args, suppress_warnings)\u001b[0m\n\u001b[1;32m 294\u001b[0m cursor\u001b[38;5;241m.\u001b[39mexecute(query, args)\n\u001b[1;32m 295\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m client\u001b[38;5;241m.\u001b[39merr\u001b[38;5;241m.\u001b[39mError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[0;32m--> 296\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m translate_query_error(err, query)\n", + "\u001b[0;31mMissingAttributeError\u001b[0m: Field 'subject_id' doesn't have a default value" + ] + } + ], + "source": [ + "Cell.insert1(dict(cell_id=1, scan_id=1, cell_type=\"E\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Cell()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me cells for subject_id=1\n", + "\n", + "Cell2 & (Scan2 & (Session2 & 'subject_id=2'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Give me cells for all males\n", + "\n", + "(Cell2 & (Scan2 & (Session2 & (Subject2 & 'sex=\"M\"')))).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "(Cell & (Subject & 'sex=\"M\"')).make_sql()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Parameterization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Image(dj.Manual):\n", + " definition = \"\"\"\n", + " image_id : int\n", + " ---\n", + " image : longblob\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class EnhanceMethod(dj.Lookup):\n", + " definition = \"\"\"\n", + " enhance_method : int\n", + " ---\n", + " method_name : varchar(16)\n", + " \"\"\"\n", + " \n", + " contents = ((1, \"sharpen\"), (2, \"contrast\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class EnhancedImage(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Image\n", + " -> EnhanceMethod\n", + " ---\n", + " enhanced_image : longblob\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Association \n", + "\n", + "Books and authors\n", + "\n", + "Checking accounts and account owners" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Book(dj.Manual):\n", + " definition = \"\"\"\n", + " isbn : int\n", + " ---\n", + " title : varchar(300)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Author(dj.Manual):\n", + " definition = \"\"\"\n", + " author_id : int\n", + " ---\n", + " name : varchar(300)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class AuthorBook(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Author\n", + " -> Book\n", + " ---\n", + " order : tinyint unsigned \n", + " unique index(isbn, order)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Generalization / specialization\n", + "\n", + "Employee, student, instructor" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Person(dj.Manual):\n", + " definition = \"\"\"\n", + " person_id : int\n", + " ---\n", + " date_of_birth : date\n", + " gender : enum(\"male\", \"female\", \"unknown\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Employee(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " hire_date : date \n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Instructor(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Employee\n", + " ---\n", + " department : varchar(30)\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person\n", + " ---\n", + " admission_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Student\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Instructor\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Directed graphs " + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Subordinate(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Employee\n", + " ---\n", + " -> Employee.proj(manager_id=\"person_id\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "0\n", + "\n", + "0\n", + "\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0->Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan->Cell\n", + "\n", + "\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "Cell2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "Session\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session->Scan\n", + "\n", + "\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "Confirm\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "Scan2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan2->Cell2\n", + "\n", + "\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "Subject\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject->Session\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment2->Confirm2\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->0\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "Instructor\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Instructor\n", + "\n", + "\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "Shipment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shipment->Confirm\n", + "\n", + "\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "Session2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Session2->Scan2\n", + "\n", + "\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "Person\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Person->Student\n", + "\n", + "\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "Order2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order2->Shipment2\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Neuron(dj.Manual):\n", + " definition = \"\"\"\n", + " neuron : int\n", + " \"\"\"\n", + " \n", + "@schema\n", + "class Synapse(dj.Manual):\n", + " definition = \"\"\"\n", + " synapse_id : int\n", + " ---\n", + " -> Neuron.proj(pre=\"neuron\")\n", + " -> Neuron.proj(post=\"neuron\") \n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "1\n", + "\n", + "1\n", + "\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1->Synapse\n", + "\n", + "\n", + "\n", + "\n", + "2\n", + "\n", + "2\n", + "\n", + "\n", + "\n", + "2->Synapse\n", + "\n", + "\n", + "\n", + "\n", + "3\n", + "\n", + "3\n", + "\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "3->Subordinate\n", + "\n", + "\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "Scan\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "Cell\n", + "\n", + "\n", + "\n", + "\n", + "\n", + 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"\n", + "\n", + "Order->Shipment\n", + "\n", + "\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "Author\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Author->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "Book\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Book->AuthorBook\n", + "\n", + "\n", + "\n", + "\n", + "Neuron\n", + "\n", + "\n", + "Neuron\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Neuron->1\n", + "\n", + "\n", + "\n", + "\n", + "Neuron->2\n", + "\n", + "\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "Subject2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Subject2->Session2\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```sql\n", + "\n", + "CREATE TABLE managed_by (\n", + " person_id : int NOT NULL,\n", + " manager_id : int NOT NULL,\n", + " \n", + " PRIMARY KEY (person_id),\n", + " \n", + " FOREIGN KEY (person_id) REFERENCES employee (person_id),\n", + " FOREIGN KEY (manager_id) reference employee (person_id))\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Undirected graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "# direcated friendship = full directed graph capability\n", + "@schema\n", + "class Friendship(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Person.proj(friend1 = \"person_id\")\n", + " -> Person.proj(friend2 = \"person_id\")\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "4\n", + "\n", + "4\n", + "\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "\n", + "\n", + "\n", + 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\"\"\"\n", + " order_id : int\n", + " ---\n", + " order_date : date\n", + " \"\"\"\n", + " \n", + " class Item(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " order_item : int\n", + " ---\n", + " \n", + " \"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Puzzle: \n", + "Cities and states.\n", + "1. Each city belongs to one state. \n", + "2. Each state has one capital.\n", + "3. A capital is a city.\n", + "4. A capital must be in the same state. \n", + "\n", + "* Tables\n", + "* Primary keys\n", + "* Foreign keys" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class State(dj.Manual):\n", + " definition = \"\"\"\n", + " st : char(2)\n", + " ---\n", + " state : varchar(30)\n", + " \"\"\"\n", + "\n", + "State.insert((\n", + " (\"WA\", \"Washington\"),\n", + " (\"TX\", \"Texas\"),\n", + " (\"AK\", \"Alaska\"),\n", + " (\"LA\", \"Louisiana\")\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class City(dj.Manual):\n", + " definition = \"\"\"\n", + " -> State\n", + " city_name : varchar(30)\n", + " ---\n", + " capital = null : enum(\"YES\")\n", + " unique index(st, capital)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "City.delete_quick()\n", + "\n", + "City.insert1((\"WA\", \"Seattle\", None))\n", + "City.insert1((\"TX\", \"Austin\", \"YES\"))\n", + "City.insert1((\"TX\", \"Houston\", None))\n", + "City.insert1((\"WA\", \"Olympia\", \"YES\"))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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st

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Total: 4

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"source": [ + "State2.delete_quick()\n", + "City2.delete_quick()\n", + "\n", + "State2.insert((\n", + " (\"WA\", \"Washington\"),\n", + " (\"TX\", \"Texas\"),\n", + " (\"AK\", \"Alaska\"),\n", + " (\"LA\", \"Louisiana\")\n", + "))\n", + "\n", + "City2.insert1((\"WA\", \"Seattle\"))\n", + "City2.insert1((\"TX\", \"Austin\"))\n", + "City2.insert1((\"TX\", \"Houston\"))\n", + "City2.insert1((\"WA\", \"Olympia\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "9\n", + "\n", + "9\n", + "\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "Friendship\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "9->Friendship\n", + "\n", + "\n", + "\n", + "\n", + "10\n", + "\n", + "10\n", + "\n", + "\n", + "\n", + "10->Friendship\n", + "\n", + "\n", + "\n", + "\n", + "11\n", + "\n", + "11\n", + "\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", + "Synapse\n", + "\n", + "\n", 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"\n", + "State\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "City\n", + "\n", + "\n", + "City\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "State->City\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "Capital2.insert1((\"TX\", \"Austin\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "ename": "DuplicateError", + "evalue": "(\"Duplicate entry 'TX' for key 'PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mDuplicateError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [76]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mCapital2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTX\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mHouston\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:334\u001b[0m, in \u001b[0;36mTable.insert1\u001b[0;34m(self, row, **kwargs)\u001b[0m\n\u001b[1;32m 327\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minsert1\u001b[39m(\u001b[38;5;28mself\u001b[39m, row, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 328\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 329\u001b[0m \u001b[38;5;124;03m Insert one data record into the table. For ``kwargs``, see ``insert()``.\u001b[39;00m\n\u001b[1;32m 330\u001b[0m \n\u001b[1;32m 331\u001b[0m \u001b[38;5;124;03m :param row: a numpy record, a dict-like object, or an ordered sequence to be inserted\u001b[39;00m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;124;03m as one row.\u001b[39;00m\n\u001b[1;32m 333\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 334\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minsert\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/benv/lib/python3.10/site-packages/datajoint/table.py:443\u001b[0m, in \u001b[0;36mTable.insert\u001b[0;34m(self, rows, replace, skip_duplicates, ignore_extra_fields, allow_direct_insert)\u001b[0m\n\u001b[1;32m 439\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\u001b[38;5;241m.\u001b[39msuggest(\n\u001b[1;32m 440\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo ignore extra fields in insert, set ignore_extra_fields=True\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 441\u001b[0m )\n\u001b[1;32m 442\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m DuplicateError \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[0;32m--> 443\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\u001b[38;5;241m.\u001b[39msuggest(\n\u001b[1;32m 444\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo ignore duplicate entries in insert, set skip_duplicates=True\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 445\u001b[0m )\n", + "\u001b[0;31mDuplicateError\u001b[0m: (\"Duplicate entry 'TX' for key 'PRIMARY'\", 'To ignore duplicate entries in insert, set skip_duplicates=True')" + ] + } + ], + "source": [ + "Capital2.insert1((\"TX\", \"Houston\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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state

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\n", + "

city_name

\n", + " \n", + "
TXAustin
TXHouston
WAOlympia
WASeattle
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*state *city_name \n", + "+-------+ +-----------+\n", + "TX Austin \n", + "TX Houston \n", + "WA Olympia \n", + "WA Seattle \n", + " (Total: 4)" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "City2()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In SQL \n", + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2) NOT NULL,\n", + " state_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state))\n", + " \n", + "CREATE TABLE city (\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state, city_name),\n", + " FOREIGN KEY (state) REFERENCES state(state))\n", + "\n", + "CREATE TABLE capital (\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state),\n", + " FOREIGN KEY (state, city_name) REFERENCES city (state, city_name))\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (724225854.py, line 1)", + "output_type": "error", + "traceback": [ + "\u001b[0;36m Input \u001b[0;32mIn [78]\u001b[0;36m\u001b[0m\n\u001b[0;31m ```sql\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" + ] + } + ], + "source": [ + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2),\n", + " state_name varchar(30),\n", + " capital varchar(30),\n", + " PRIMARY KEY (state),\n", + " FOREIGN KEY (state, capital) REFERENCES city (state, city_name))\n", + " \n", + "CREATE TABLE city (\n", + " state char(2),\n", + " city_name varchar(30),\n", + " PRIMARY KEY (state, city_name))\n", + " FOREIGN KEY (state) REFERENCES state(state)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In SQL \n", + "\n", + "```sql\n", + "CREATE TABLE state (\n", + " state char(2) NOT NULL,\n", + " state_name varchar(30) NOT NULL,\n", + " PRIMARY KEY (state))\n", + " \n", + "CREATE TABLE city (\n", + " city_id int NOT NULL,\n", + " state char(2) NOT NULL,\n", + " city_name varchar(30) NOT NULL,\n", + " is_capital enum('yes'),\n", + " PRIMARY KEY (state_id),\n", + " UNIQUE INDEX(state, is_capital),\n", + " FOREIGN KEY (state) REFERENCES state(state))\n", + "```\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Problem \n", + "\n", + "Model a vet clinic. \n", + "\n", + "1. Customers bring in pets. Customers are identified by their cell phones. \n", + "\n", + "2. Pets are identified by their nicknames for that customer.\n", + "\n", + "3. Pets have a date of birth, species, and date of birth.\n", + "\n", + "4. Pets have a list of vaccinations that must be performed for their species.\n", + "\n", + "5. Pets have vaccination administration, shot date. " + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proceed to delete entire schema `shared_vet`? [yes, No]: yes\n" + ] + } + ], + "source": [ + "schema = dj.Schema('vet')" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Owner(dj.Manual):\n", + " definition = \"\"\"\n", + " cell_phone : char(10) \n", + " ---\n", + " full_name : varchar(16)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Species(dj.Lookup):\n", + " definition = \"\"\"\n", + " species : varchar(30)\n", + " \"\"\"\n", + " contents = (('cat',), ('dog',), ('ferret',), ('parrot',))" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "

species

\n", + " \n", + "
cat
dog
ferret
parrot
\n", + " \n", + "

Total: 4

\n", + " " + ], + "text/plain": [ + "*species \n", + "+---------+\n", + "cat \n", + "dog \n", + "ferret \n", + "parrot \n", + " (Total: 4)" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Species()" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Pet(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Owner\n", + " -> Species\n", + " nickname : varchar(30)\n", + " ---\n", + " birthdate : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class RequiredVaccine(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Species\n", + " vaccine : varchar(10)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Shot(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Pet\n", + " -> RequiredVaccine\n", + " ---\n", + " shot_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "
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cell_phone

\n", + " \n", + "
\n", + "

species

\n", + " \n", + "
\n", + "

nickname

\n", + " \n", + "
\n", + "

vaccine

\n", + " \n", + "
\n", + "

shot_date

\n", + " \n", + "
\n", + " \n", + "

Total: 0

\n", + " " + ], + "text/plain": [ + "*cell_phone *species *nickname *vaccine shot_date \n", + "+------------+ +---------+ +----------+ +---------+ +-----------+\n", + "\n", + " (Total: 0)" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Shot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```sql\n", + "create table shot (\n", + " cell_phone char(10) NOT NULL,\n", + " nickname varchar(16) NOT NULL,\n", + " species varchar(20) NOT NULL,\n", + " vaccine varchar(10) NOT NULL,\n", + " PRIMARY KEY (cell_phone, nickname, species, vaccine),\n", + " FOREIGN KEY (cell_phone, nickname, species) REFERENCES pet(cell_phone, nickname, species),\n", + " FOREIGN KEY (species, vaccine) REFERENCES required_vaccine(species, vaccine)\n", + ")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Homework homework\n", + "\n", + "Homework assignments, students, grades\n", + "\n", + "1. Homework is given with a due date.\n", + "2. Students submit homework, we record the submit date\n", + "3. Submitted homework gets a grade\n" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Assignment(dj.Manual):\n", + " definition = \"\"\"\n", + " assignment : int\n", + " ---\n", + " due_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [], + "source": [ + "@schema \n", + "class Student(dj.Manual):\n", + " definition = \"\"\"\n", + " student_id : int\n", + " ---\n", + " student_name : varchar(30)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Submission(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Student\n", + " -> Assignment\n", + " ---\n", + " submit_date : date\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Grade(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Submission\n", + " ---\n", + " grade : char(1)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Submission->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Messaging App (Slack, Telegram, Signal)\n", + "\n", + "1. Users can create channels. Each channel belongs to one user.\n", + "3. Channel names are globally unique\n", + "2. A user can create a post in their channels only\n", + "3. A user can be a guest in another person's channel.\n", + "4. Guest can reply to posts\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class User(dj.Manual):\n", + " definition = \"\"\"\n", + " username : varchar(12)\n", + " ---\n", + " irl_name : varchar(30)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Channel(dj.Manual):\n", + " definition = \"\"\"\n", + " channel : varchar(12)\n", + " ---\n", + " -> User\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Guest(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Channel\n", + " -> User\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "Assignment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "Submission\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Assignment->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "Student\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Student->Submission\n", + "\n", + "\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "Grade\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "User\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Guest\n", + "\n", + "\n", + "\n", + "\n", + "Channel\n", + "\n", + "\n", + "Channel\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "User->Channel\n", + "\n", + "\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "Pet\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "Shot\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Pet->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "Species\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->Pet\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Species->RequiredVaccine\n", + "\n", + "\n", + "\n", + "\n", + "RequiredVaccine->Shot\n", + "\n", + "\n", + "\n", + "\n", + "Channel->Guest\n", + "\n", + "\n", + "\n", + "\n", + "Submission->Grade\n", + "\n", + "\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "Owner\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Owner->Pet\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Post(dj.Manual):\n", + " definition = \"\"\"\n", + " -> Channel\n", + " post : int\n", + " ---\n", + " message : varchar(1024)\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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database exists\")\n", - "[SQL: create schema dimitri_university;]\n", - "(Background on this error at: http://sqlalche.me/e/13/f405)\n" - ] - } - ], - "source": [ - "%%sql\n", - "\n", - "create schema dimitri_university;" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://dimitri:***@db.data-science-ust.net\n", - "12 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Database
abrahap_university
dimitri_university
gimenel_university
information_schema
innodb
llewis1_university
mysql
ortizc2_university
patelcu_university
performance_schema
test
wrightm1_university
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Tables_in_dimitri_university
employee
person
~log
" - ], - "text/plain": [ - "[('employee',), ('person',), ('~log',)]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%sql \n", - "\n", - "show tables" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://dimitri:***@db.data-science-ust.net\n", - "(pymysql.err.ProgrammingError) (1146, \"Table 'dimitri_university.person' doesn't exist\")\n", - "[SQL: select * from person]\n", - "(Background on this error at: http://sqlalche.me/e/13/f405)\n" - ] - } - ], - "source": [ - "%%sql\n", - "\n", - "select * from person" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://dimitri:***@db.data-science-ust.net\n", - "0 rows affected.\n" - ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%sql\n", - "\n", - "DELETE FROM person" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://dimitri:***@db.data-science-ust.net\n", - "0 rows affected.\n" - ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%sql\n", - "\n", - "DROP TABLE person;" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "\n", - "create table dimitri_university.person (\n", - " personal_id integer,\n", - " first_name varchar(30),\n", - " last_name varchar(30),\n", - " date_of_birth date\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "drop table dimitri_university.person;" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "show tables from dimitri_university" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "show create table dimitri_university.person" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "INSERT dimitri_university.person values (1, 'Bob', 'Jones', '2000-01-01');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT * FROM dimitri_university.person;" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "INSERT dimitri_university.person (personal_id, first_name, last_name, date_of_birth) \n", - " values (1, 'Bob', 'Jones', '2000-01-01');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "INSERT dimitri_university.person (personal_id, last_name) \n", - " values (2, 'Jones');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "use dimitri_university" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT * FROM person;" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "INSERT person (last_name) \n", - " values ('Jones');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "\n", - "SELECT * FROM person;" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# That was a bad design. Let's try again" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "use dimitri_university" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "drop table person" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql \n", - "\n", - "create table person (\n", - " personal_id integer unsigned NOT NULL,\n", - " first_name varchar(30) NOT NULL,\n", - " last_name varchar(30) NOT NULL,\n", - " date_of_birth date NOT NULL,\n", - " address varchar(30) DEFAULT \"\" NOT NULL,\n", - " PRIMARY KEY(personal_id)\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "drop table person;" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "INSERT person (personal_id, first_name, last_name, date_of_birth) \n", - " values (1, 'Bob', 'Jones', '2020-01-01');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "INSERT person (personal_id, first_name, last_name, date_of_birth) \n", - " values (2, 'Alice', 'Cooper', '2020-01-02');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT * FROM person" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "INSERT person (personal_id, first_name, last_name, date_of_birth) \n", - " values (4, 'Caren', 'Peterson', '2020-05-01'),\n", - " (3, 'Bob', 'Dylan', '2020-03-03');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%sql\n", - "\n", - "SELECT * FROM person" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Entity integrity \n", - "\n", - "Entity integrity is the guarantee given by the data management process of 1-to-1 correspondence between entities in the real world and their digital representations. The database cannot do it on its own.\n", - "\n", - "To enforce this, databases enforce the uniquness of the primary key." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Introducing DataJoint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import datajoint as dj" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.config['database.host'] = creds['host']\n", - "dj.config['database.user'] = creds['user']\n", - "dj.config['database.password'] = creds['password']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.conn()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.set_password()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "schema = dj.schema('dimitri_university')\n", - "schema.spawn_missing_classes()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Employee(dj.Manual):\n", - " definition = \"\"\"\n", - " employee_id : int unsigned\n", - " ---\n", - " first_name : varchar(30)\n", - " last_name : varchar(30)\n", - " date_of_birth : date \n", - " address : varchar(60)\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Person()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Person.insert1((1, 'Carol', 'Fair', '2020-07-01', 'Far Away'))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Person()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Person().make_sql()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sqlite3" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/db-course/Groups.ipynb b/db-course/Groups.ipynb deleted file mode 100644 index 0531ae2..0000000 --- a/db-course/Groups.ipynb +++ /dev/null @@ -1,1221 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "8f11b2e4", - "metadata": {}, - "source": [ - "# Groupings \n", - "\n", - "This notebook designs the schema `shared_projects` that specifies how teams are grouped for projects." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "b23f2a78", - "metadata": {}, - "outputs": [], - "source": [ - "import datajoint as dj" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "5ac109bb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Connecting dimitri@db.ust-db.link:3306\n" - ] - } - ], - "source": [ - "schema = dj.schema(\"shared_projects\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "3a4ee16d", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Student(dj.Manual):\n", - " definition = \"\"\"\n", - " username : varchar(12)\n", - " ---\n", - " first_name : varchar(30)\n", - " last_name : varchar(30)\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f7863327", - "metadata": {}, - "outputs": [], - "source": [ - "# Insert student names from students.csv\n", - "with open('students.csv') as f:\n", - " for line in f:\n", - " fields = line.split(',')\n", - " Student.insert1(dict(\n", - " last_name=fields[0].strip(),\n", - " first_name=fields[1].strip(),\n", - " username=fields[2].strip()), skip_duplicates=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "1036bfa5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

username

\n", - " \n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
abellcCreed WillsAbell
antonieElton Jose CarlosAntonio
byrnegGarrick T.Byrne
fuquendDanielaFuquene
gallegjjJuan JGallegos
hajdekdDaliborHajdek
hidalgddDiana D.Hidalgo
kopinssSebastianKopinsky
llewis1LareishaLewis
lrharrisLacey RHarris
mhinesMichaelHines
shussaiSyed KamranHussain
\n", - "

...

\n", - "

Total: 15

\n", - " " - ], - "text/plain": [ - "*username first_name last_name \n", - "+----------+ +------------+ +-----------+\n", - "abellc Creed Wills Abell \n", - "antonie Elton Jose Car Antonio \n", - "byrneg Garrick T. Byrne \n", - "fuquend Daniela Fuquene \n", - "gallegjj Juan J Gallegos \n", - "hajdekd Dalibor Hajdek \n", - "hidalgdd Diana D. Hidalgo \n", - "kopinss Sebastian Kopinsky \n", - "llewis1 Lareisha Lewis \n", - "lrharris Lacey R Harris \n", - "mhines Michael Hines \n", - "shussai Syed Kamran Hussain \n", - " ...\n", - " (Total: 15)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Student()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "54c99238", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Project(dj.Lookup):\n", - " definition = \"\"\"\n", - " project_number : int\n", - " ---\n", - " project_name : varchar(300)\n", - " due_date : date\n", - " \"\"\"\n", - " \n", - " contents = [\n", - " (4, \"Hotel database design\", \"2021-10-05\"),\n", - " (6, \"Join Queries\", \"2021-11-03\"),\n", - " (7, \"Aggregation Queries\", \"2021-11-10\"),\n", - " (8, \"Query Review\", \"2021-11-17\"),\n", - " (9, \"Final Project\", \"2021-12-12\")\n", - " ]" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "1fa6843c", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class GroupAssignment(dj.Manual):\n", - " definition = \"\"\"\n", - " -> Project\n", - " -> Student\n", - " ---\n", - " group_id : int\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "3424eb13", - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "`shared_projects`.`final__student`\n", - "\n", - "`shared_projects`.`final__student`\n", - "\n", - "\n", - "\n", - "`shared_projects`.`final`\n", - "\n", - "`shared_projects`.`final`\n", - "\n", - "\n", - "\n", - "`shared_projects`.`final`->`shared_projects`.`final__student`\n", - "\n", - "\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "Student\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Student->`shared_projects`.`final__student`\n", - "\n", - "\n", - "\n", - "\n", - "GroupAssignment\n", - "\n", - "\n", - "GroupAssignment\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Student->GroupAssignment\n", - "\n", - "\n", - "\n", - "\n", - "Project\n", - "\n", - "\n", - "Project\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Project->GroupAssignment\n", - "\n", - "\n", - "\n", - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dj.Diagram(schema)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "0ad34dda", - "metadata": {}, - "outputs": [], - "source": [ - "import itertools\n", - "\n", - "# Assign Project 4 groupings\n", - "for k, r in zip(Student.fetch('KEY'), itertools.cycle(range(5))):\n", - " GroupAssignment.insert1(dict(k, project_number=4, group_id=r), skip_duplicates=True)\n", - " \n", - "# Assign Project 6 groupings\n", - "students = iter(Student.fetch('KEY'))\n", - "for group_id in range(5):\n", - " for _ in range(3):\n", - " GroupAssignment.insert1(dict(next(students), project_number=6, group_id=group_id), \n", - " skip_duplicates=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "754c1b00", - "metadata": {}, - "outputs": [], - "source": [ - "dj.config['display.limit'] = 15" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "fc174dbd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

project_number

\n", - " \n", - "
\n", - "

username

\n", - " \n", - "
\n", - "

group_id

\n", - " \n", - "
\n", - "

project_name

\n", - " \n", - "
\n", - "

due_date

\n", - " \n", - "
\n", - "

first_name

\n", - " \n", - "
\n", - "

last_name

\n", - " \n", - "
6velasqya4Join Queries2021-11-03Yeison AndresVelasquez
6vnguyen84Join Queries2021-11-03VietNguyen
6yzhang34Join Queries2021-11-03DoraZhang
\n", - " \n", - "

Total: 3

\n", - " " - ], - "text/plain": [ - "*project_numbe *username group_id project_name due_date first_name last_name \n", - "+------------+ +----------+ +----------+ +------------+ +------------+ +------------+ +-----------+\n", - "6 velasqya 4 Join Queries 2021-11-03 Yeison Andres Velasquez \n", - "6 vnguyen8 4 Join Queries 2021-11-03 Viet Nguyen \n", - "6 yzhang3 4 Join Queries 2021-11-03 Dora Zhang \n", - " (Total: 3)" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "GroupAssignment * Project * Student & 'project_number=6' & 'group_id=4'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7a4e3268", - "metadata": {}, - "outputs": [], - "source": [ - "for r in GroupAssignment * Project & {'project_number': 4}:\n", - " print(\"GRANT SELECT, INSERT, UPDATE, DELETE, CREATE,\" \n", - " \"DROP, REFERENCES, INDEX, ALTER, CREATE VIEW,\"\n", - " \"SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE \" \n", - " \"ON `hw{project_number}_team{group_id}\\_%`.* TO '{username}'@'%';\".format(**r))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "aa84e2b8", - "metadata": {}, - "outputs": [], - "source": [ - "GroupAssignment()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "946a3804", - "metadata": {}, - "outputs": [], - "source": [ - "GroupAssignment.fetch('KEY')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ff993315", - "metadata": {}, - "outputs": [], - "source": [ - "# student triplets that have been in the same group\n", - "\n", - "s1 = Student.proj(u1='username')\n", - "s2 = Student.proj(u2='username')\n", - "s3 = Student.proj(u3='username')\n", - "\n", - "\n", - "g1 = (GroupAssignment * dj.U('group_id')).proj(u1='username') \n", - "g2 = (GroupAssignment * dj.U('group_id')).proj(u2='username')\n", - "g3 = (GroupAssignment * dj.U('group_id')).proj(u3='username')\n", - "\n", - "order = 'u1 < u2 and u2 < u3'\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cc3f4e6b", - "metadata": {}, - "outputs": [], - "source": [ - "s1 * s2 * s3 & 'u1 < u2' & 'u2 < u3'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0859fc38", - "metadata": {}, - "outputs": [], - "source": [ - "dj.config['display.limit'] = 25" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "764274c8", - "metadata": {}, - "outputs": [], - "source": [ - "g1 * g2 * g3 & order & '\"hidalgdd\" in (u1, u2, u3)'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e1e41df1", - "metadata": {}, - "outputs": [], - "source": [ - "g1 * g2 * g3" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "022aeed3", - "metadata": {}, - "outputs": [], - "source": [ - "(GroupAssignment & 'project_number = 9').delete()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e07deedd", - "metadata": {}, - "outputs": [], - "source": [ - "Student()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "fd904e5a", - "metadata": {}, - "outputs": [], - "source": [ - "@schema\n", - "class Final(dj.Manual):\n", - " definition = \"\"\"\n", - " final : varchar(18)\n", - " \"\"\"\n", - " \n", - " class Student(dj.Part):\n", - " definition = \"\"\"\n", - " -> master\n", - " -> Student\n", - " \"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "eeb87732", - "metadata": {}, - "outputs": [], - "source": [ - "Final.insert(\n", - " zip((\"magnificents\", \"black_squares\", \n", - " \"not_remote\", \"future_soldiers\")),\n", - " skip_duplicates=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "e89a3a74", - "metadata": {}, - "outputs": [], - "source": [ - "Final.Student.insert((\n", - " (\"black_squares\", \"mhines\"),\n", - " (\"black_squares\", \"fuquend\"),\n", - " (\"black_squares\", \"llewis1\"),\n", - " (\"magnificents\", \"hajdekd\"),\n", - " (\"magnificents\", \"byrneg\"),\n", - " (\"magnificents\", \"hidalgdd\"),\n", - " (\"magnificents\", \"lrharris\"),\n", - " (\"not_remote\", \"gallegjj\"),\n", - " (\"not_remote\", \"yzhang3\"),\n", - " (\"not_remote\", \"shussai\"),\n", - " (\"not_remote\", \"abellc\"),\n", - " (\"future_soldiers\", \"antonie\"),\n", - " (\"future_soldiers\", \"kopinss\"),\n", - " (\"future_soldiers\", \"velasqya\")\n", - "), skip_duplicates=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "61d5bedc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

final

\n", - " \n", - "
\n", - "

username

\n", - " \n", - "
\n", - "

name

\n", - " calculated attribute\n", - "
black_squaresfuquendDaniela Fuquene
black_squaresllewis1Lareisha Lewis
black_squaresmhinesMichael Hines
future_soldiersantonieElton Jose Carlos Antonio
future_soldierskopinssSebastian Kopinsky
future_soldiersvelasqyaYeison Andres Velasquez
magnificentsbyrnegGarrick T. Byrne
magnificentshajdekdDalibor Hajdek
magnificentshidalgddDiana D. Hidalgo
magnificentslrharrisLacey R Harris
not_remoteabellcCreed Wills Abell
not_remotegallegjjJuan J Gallegos
not_remoteshussaiSyed Kamran Hussain
not_remoteyzhang3Dora Zhang
\n", - " \n", - "

Total: 14

\n", - " " - ], - "text/plain": [ - "*final *username name \n", - "+------------+ +----------+ +------------+\n", - "black_squares fuquend Daniela Fuquen\n", - "black_squares llewis1 Lareisha Lewis\n", - "black_squares mhines Michael Hines \n", - "future_soldier antonie Elton Jose Car\n", - "future_soldier kopinss Sebastian Kopi\n", - "future_soldier velasqya Yeison Andres \n", - "magnificents byrneg Garrick T. Byr\n", - "magnificents hajdekd Dalibor Hajdek\n", - "magnificents hidalgdd Diana D. Hidal\n", - "magnificents lrharris Lacey R Harris\n", - "not_remote abellc Creed Wills Ab\n", - "not_remote gallegjj Juan J Gallego\n", - "not_remote shussai Syed Kamran Hu\n", - "not_remote yzhang3 Dora Zhang \n", - " (Total: 14)" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dj.config['display.limit'] = 15\n", - "Final.Student() * Student.proj(name='concat(first_name, \" \", last_name)')" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "e4495471", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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username

\n", - " \n", - "
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first_name

\n", - " \n", - "
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last_name

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vnguyen8VietNguyen
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Total: 1

\n", - " " - ], - "text/plain": [ - "*username first_name last_name \n", - "+----------+ +------------+ +-----------+\n", - "vnguyen8 Viet Nguyen \n", - " (Total: 1)" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "unassigned = Student - Final.Student\n", - "unassigned" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "6282c836", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `black_squares\\_%`.* TO 'fuquend'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `black_squares\\_%`.* TO 'llewis1'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `black_squares\\_%`.* TO 'mhines'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `future_soldiers\\_%`.* TO 'antonie'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `future_soldiers\\_%`.* TO 'kopinss'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `future_soldiers\\_%`.* TO 'velasqya'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'byrneg'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'hajdekd'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'hidalgdd'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `magnificents\\_%`.* TO 'lrharris'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'abellc'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'gallegjj'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'shussai'@'%';\n", - "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE ON `not_remote\\_%`.* TO 'yzhang3'@'%';\n" - ] - } - ], - "source": [ - "for q in Final.Student():\n", - " print(\"GRANT SELECT, INSERT, UPDATE, DELETE, CREATE,\"\n", - " \" DROP, REFERENCES, INDEX, ALTER, CREATE VIEW,\" \n", - " \" SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE\"\n", - " \" ON `{final}\\_%`.* TO '{username}'@'%';\".format(**q))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9c568f0c", - "metadata": {}, - "outputs": [], - "source": [ - "for name, password in creds:\n", - " print(f\"GRANT SELECT, INSERT, UPDATE, DELETE, \"\n", - " f\"CREATE, DROP, REFERENCES, INDEX, ALTER, \"\n", - " f\"CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE \"\n", - " f\"ON `{name}\\_%`.* TO '{name}'@'%';\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "58490914", - "metadata": {}, - "outputs": [], - "source": [ - "# make new teams that have never been together\n", - "\n", - "assigned = set()\n", - "project = 9\n", - "group = 0\n", - "for u1, u2, u3, n in zip(*teammates.fetch('u1', 'u2', 'u3', 'n', order_by='n')):\n", - " if not assigned & {u1, u2, u3}:\n", - " try:\n", - " GroupAssignment.insert(\n", - " dict(project_number=project, group_id=group, username=user)\n", - " for user in (u1, u2, u3))\n", - " except dj.errors.DuplicateError:\n", - " pass\n", - " else:\n", - " group += 1\n", - " assigned.update({u1, u2, u3})\n", - " print(u1, u2, u3)\n", - " \n", - " \n", - "assert len(assigned)==len(Student()), 'some students have not been assigned'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1da4ab6d", - "metadata": {}, - "outputs": [], - "source": [ - "GroupAssignment & 'project_number=9'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6b36f937", - "metadata": {}, - "outputs": [], - "source": [ - "(GroupAssignment() & 'project_number=7').delete()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ee516282", - "metadata": {}, - "outputs": [], - "source": [ - "GroupAssignment() & 'project_number=7'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "06300e18", - "metadata": {}, - "outputs": [], - "source": [ - "teammates & 'u1 < u2' & 'u2 < u3'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "09c242c5", - "metadata": {}, - "outputs": [], - "source": [ - "GroupAssignment() & dj.top(3, order_by='')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7308d089", - "metadata": {}, - "outputs": [], - "source": [ - "teammates & order" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2195bf50", - "metadata": {}, - "outputs": [], - "source": [ - "teammates & order & 'u1=\"abellc\"'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7e9b231b", - "metadata": {}, - "outputs": [], - "source": [ - "GroupAssignment() & 'username=\"abellc\"'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "429a6ffa", - "metadata": {}, - "outputs": [], - "source": [ - "Student()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "acf2a610", - "metadata": {}, - "outputs": [], - "source": [ - "teammates & order" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "6a9da709", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
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project_number

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username

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group_id

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8abellc2
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8vnguyen82
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Total: 3

\n", - " " - ], - "text/plain": [ - "*project_numbe *username group_id \n", - "+------------+ +----------+ +----------+\n", - "8 abellc 2 \n", - "8 velasqya 2 \n", - "8 vnguyen8 2 \n", - " (Total: 3)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "GroupAssignment() & 'project_number=8' & 'group_id=2'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "abe681d9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 169733c04d9bc40d246e379702fe7f0fbdefacf8 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Tue, 14 Nov 2023 23:11:09 +0000 Subject: [PATCH 29/33] add homework 8 --- db-course/008-Transactions-HW.ipynb | 242 ++++++++++++++++++++++++++++ 1 file changed, 242 insertions(+) create mode 100644 db-course/008-Transactions-HW.ipynb diff --git a/db-course/008-Transactions-HW.ipynb b/db-course/008-Transactions-HW.ipynb new file mode 100644 index 0000000..ee82baa --- /dev/null +++ b/db-course/008-Transactions-HW.ipynb @@ -0,0 +1,242 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Homework 8: Transactions\n", + "\n", + "Prior to working on this homework, execute [004-DatabaseSales.ipynb](004-DatabaseSales.ipynb) to create the classic sales database.\n", + "\n", + "Create the python function `place_order`, which accepts a list of products, their quantities, the customer id, the employee id, and the payment amount. It should use a transaction to place an order. You cannot use SQL magic; use python libraries such as `pymysql` or `datajoint` (or possibly others if you prefer). The order consists of inserting an order into `Order`, all its items into `Order.Item`, and the corresponding payment into `Payment`. The function should through an error if the total on the payment does not match the total price of the items. The entire transaction should rollback should an interruption or error occur before the entire transaction completes.\n", + "\n", + "Play with the function enough to convince yourself that it implements transactions correctly. To grade, the instructor will review the code for correctness.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sql extension is already loaded. To reload it, use:\n", + " %reload_ext sql\n" + ] + } + ], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "0\n", + "\n", + "0\n", + "\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "Report\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0->Report\n", + "\n", + "\n", + "\n", + "\n", + "1\n", + "\n", + "1\n", + "\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "Customer\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1->Customer\n", + "\n", + "\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "ProductLine\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "Product\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ProductLine->Product\n", + "\n", + "\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Product->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "Payment\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "Order\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Order->Order.Item\n", + "\n", + "\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "Office\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "Employee\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Office->Employee\n", + "\n", + "\n", + "\n", + "\n", + "Employee->0\n", + "\n", + "\n", + "\n", + "\n", + "Employee->1\n", + "\n", + "\n", + "\n", + "\n", + "Employee->Report\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Payment\n", + "\n", + "\n", + "\n", + "\n", + "Customer->Order\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import datajoint as dj\n", + "\n", + "sales = dj.Schema('classicsales')\n", + "sales.spawn_missing_classes()\n", + "\n", + "dj.Diagram(sales)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 66c5445859d2c213417a6d7b69ba29e3744597b7 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 15 Nov 2023 02:02:24 +0000 Subject: [PATCH 30/33] Add relational division and final --- db-course/009-RelationalDivision.ipynb | 1561 ++++++++++++++++++++++++ db-course/011-Final.ipynb | 77 ++ 2 files changed, 1638 insertions(+) create mode 100644 db-course/009-RelationalDivision.ipynb create mode 100644 db-course/011-Final.ipynb diff --git a/db-course/009-RelationalDivision.ipynb b/db-course/009-RelationalDivision.ipynb new file mode 100644 index 0000000..5919632 --- /dev/null +++ b/db-course/009-RelationalDivision.ipynb @@ -0,0 +1,1561 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The sql extension is already loaded. To reload it, use:\n", + " %reload_ext sql\n" + ] + } + ], + "source": [ + "import pymysql\n", + "pymysql.install_as_MySQLdb()\n", + "%load_ext sql\n", + "%config SqlMagic.autocommit=True\n", + "%sql mysql://root:simple@127.0.0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import datajoint as dj\n", + "from faker import Faker\n", + "fake = Faker()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2023-11-15 01:22:42,459][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-11-15 01:22:42,518][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + ] + } + ], + "source": [ + "schema = dj.Schema('hiring')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Skill(dj.Lookup):\n", + " definition = \"\"\"\n", + " skill : varchar(24)\n", + " \"\"\"\n", + " contents = zip(\n", + " (\"SQL\", \"Java\", \"Python\", \"C++\", \n", + " \"JavaScript\", \"R\", \"Rust\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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skill

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C++
Java
JavaScript
Python
R
Rust
SQL
\n", + " \n", + "

Total: 7

\n", + " " + ], + "text/plain": [ + "*skill \n", + "+------------+\n", + "C++ \n", + "Java \n", + "JavaScript \n", + "Python \n", + "R \n", + "Rust \n", + "SQL \n", + " (Total: 7)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Skill()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Candidate(dj.Manual):\n", + " definition = \"\"\"\n", + " candidate_id : int\n", + " ---\n", + " name : varchar(60)\n", + " \"\"\"\n", + " \n", + " class Skill(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " -> Skill\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "Candidate.insert(((fake.random_int(), fake.name()) for _ in range(300)), \n", + " skip_duplicates=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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217Cynthia Noble
282Walter Castro
288Cassandra Baker
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371Tyler Nelson
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529Shannon Robinson
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6C++Daniel Burns
35RJustin Brown
35PythonJustin Brown
35JavaScriptJustin Brown
35C++Justin Brown
69RustMary Russell
69RMary Russell
69JavaScriptMary Russell
69JavaMary Russell
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...

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Total: 802

\n", + " " + ], + "text/plain": [ + "*candidate_id *skill name \n", + "+------------+ +------------+ +------------+\n", + "6 SQL Daniel Burns \n", + "35 Rust Justin Brown \n", + "35 Python Justin Brown \n", + "35 JavaScript Justin Brown \n", + "69 SQL Mary Russell \n", + "69 JavaScript Mary Russell \n", + "69 Java Mary Russell \n", + "84 SQL Hannah Rodrigu\n", + "84 Java Hannah Rodrigu\n", + "169 JavaScript Carrie Donovan\n", + "217 SQL Cynthia Noble \n", + "217 Java Cynthia Noble \n", + " ...\n", + " (Total: 840)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Candidate * Skill & 'rand() < 0.4'" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "Candidate.Skill.insert(\n", + " Candidate.proj() * Skill & 'RAND() < 0.4')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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skill

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1369C++
1374C++
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...

\n", + "

Total: 804

\n", + " " + ], + "text/plain": [ + "*candidate_id *skill \n", + "+------------+ +-------+\n", + "35 C++ \n", + "288 C++ \n", + "371 C++ \n", + "578 C++ \n", + "641 C++ \n", + "722 C++ \n", + "791 C++ \n", + "1363 C++ \n", + "1369 C++ \n", + "1374 C++ \n", + "1379 C++ \n", + "1525 C++ \n", + " ...\n", + " (Total: 804)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Candidate.Skill()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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1392SQL
1407SQL
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...

\n", + "

Total: 110

\n", + " " + ], + "text/plain": [ + "*candidate_id *skill \n", + "+------------+ +-------+\n", + "282 SQL \n", + "472 SQL \n", + "578 SQL \n", + "640 SQL \n", + "664 SQL \n", + "722 SQL \n", + "810 SQL \n", + "857 SQL \n", + "1005 SQL \n", + "1374 SQL \n", + "1392 SQL \n", + "1407 SQL \n", + " ...\n", + " (Total: 110)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Candidate.Skill & 'skill=\"SQL\"'" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "@schema\n", + "class Position(dj.Manual):\n", + " definition = \"\"\"\n", + " position : varchar(12) \n", + " ---\n", + " position_description : varchar(60)\n", + " \"\"\"\n", + "\n", + " class Skill(dj.Part):\n", + " definition = \"\"\"\n", + " -> master\n", + " -> Skill\n", + " \"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "Position.insert1((\"SWE1\", \"Software Engineer I\"))\n", + "Position.Skill.insert((\n", + " (\"SWE1\", \"Rust\"),\n", + " (\"SWE1\", \"JavaScript\"),\n", + " (\"SWE1\", \"Java\")))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "Position.insert1((\"DS2\", \"Data Scientist II\"))\n", + "Position.Skill.insert((\n", + " (\"DS2\", \"SQL\"),\n", + " (\"DS2\", \"Python\")))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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skill

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SWE1JavaScript
DS2Python
SWE1Rust
DS2SQL
\n", + " \n", + "

Total: 5

\n", + " " + ], + "text/plain": [ + "*position *skill \n", + "+----------+ +------------+\n", + "SWE1 Java \n", + "SWE1 JavaScript \n", + "DS2 Python \n", + "SWE1 Rust \n", + "DS2 SQL \n", + " (Total: 5)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Position.Skill()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Position.Skill\n", + "\n", + "\n", + "Position.Skill\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Candidate.Skill\n", + "\n", + "\n", + "Candidate.Skill\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Skill\n", + "\n", + "\n", + "Skill\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Skill->Position.Skill\n", + "\n", + "\n", + "\n", + "\n", + "Skill->Candidate.Skill\n", + "\n", + "\n", + "\n", + "\n", + "Candidate\n", + "\n", + "\n", + "Candidate\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Candidate->Candidate.Skill\n", + "\n", + "\n", + "\n", + "\n", + "Position\n", + "\n", + "\n", + "Position\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Position->Position.Skill\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(schema)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Show candidates who qualify for a given job\n", + "\n", + "Rephrase (position)\n", + "\n", + "> Show candidates who have *all* the skills required for job \"SWE1\"\n", + "\n", + "Rephrasing (a double negative)\n", + "\n", + "> Show candidates for whom there is no skill required for job \"SWE1\" that she does not possess." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
\n", + "

position

\n", + " \n", + "
\n", + "

skill

\n", + " \n", + "
SWE1Java
SWE1JavaScript
SWE1Rust
\n", + " \n", + "

Total: 3

\n", + " " + ], + "text/plain": [ + "*position *skill \n", + "+----------+ +------------+\n", + "SWE1 Java \n", + "SWE1 JavaScript \n", + "SWE1 Rust \n", + " (Total: 3)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# skills for SWE1\n", + "required_skill = Position.Skill() & {'position': \"SWE1\"}\n", + "required_skill" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "missing_skill = Candidate.proj() * required_skill - Candidate.Skill()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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candidate_id

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skill

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641C++
722C++
791C++
1363C++
1369C++
1374C++
1379C++
1525C++
\n", + "

...

\n", + "

Total: 804

\n", + " " + ], + "text/plain": [ + "*candidate_id *skill \n", + "+------------+ +-------+\n", + "35 C++ \n", + "288 C++ \n", + "371 C++ \n", + "578 C++ \n", + "641 C++ \n", + "722 C++ \n", + "791 C++ \n", + "1363 C++ \n", + "1369 C++ \n", + "1374 C++ \n", + "1379 C++ \n", + "1525 C++ \n", + " ...\n", + " (Total: 804)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Candidate.Skill()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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candidate_id

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name

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472Alicia Horton
1115James Sanchez
1178Ryan Nicholson
1363Maria Fields
1392Thomas Ford
2283Ricky Smith
2384James Torres
3134Joseph White
4192Christian Robinson
4914Alexa Haynes
5302Sarah Martinez
6315Janet Brown
\n", + "

...

\n", + "

Total: 18

\n", + " " + ], + "text/plain": [ + "*candidate_id name \n", + "+------------+ +------------+\n", + "472 Alicia Horton \n", + "1115 James Sanchez \n", + "1178 Ryan Nicholson\n", + "1363 Maria Fields \n", + "1392 Thomas Ford \n", + "2283 Ricky Smith \n", + "2384 James Torres \n", + "3134 Joseph White \n", + "4192 Christian Robi\n", + "4914 Alexa Haynes \n", + "5302 Sarah Martinez\n", + "6315 Janet Brown \n", + " ...\n", + " (Total: 18)" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Candidate - missing_skill" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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candidate_id

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name

\n", + " \n", + "
472Alicia Horton
1115James Sanchez
1178Ryan Nicholson
1363Maria Fields
1392Thomas Ford
2283Ricky Smith
2384James Torres
3134Joseph White
4192Christian Robinson
4914Alexa Haynes
5302Sarah Martinez
6315Janet Brown
\n", + "

...

\n", + "

Total: 18

\n", + " " + ], + "text/plain": [ + "*candidate_id name \n", + "+------------+ +------------+\n", + "472 Alicia Horton \n", + "1115 James Sanchez \n", + "1178 Ryan Nicholson\n", + "1363 Maria Fields \n", + "1392 Thomas Ford \n", + "2283 Ricky Smith \n", + "2384 James Torres \n", + "3134 Joseph White \n", + "4192 Christian Robi\n", + "4914 Alexa Haynes \n", + "5302 Sarah Martinez\n", + "6315 Janet Brown \n", + " ...\n", + " (Total: 18)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Candidate - (Candidate.proj() * (Position.Skill() & {'position': \"SWE1\"}) - Candidate.Skill())" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "18 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
candidate_idname
472Alicia Horton
1115James Sanchez
1178Ryan Nicholson
1363Maria Fields
1392Thomas Ford
2283Ricky Smith
2384James Torres
3134Joseph White
4192Christian Robinson
4914Alexa Haynes
5302Sarah Martinez
6315Janet Brown
7368Jon Johnson
7384Scott Williams
7494Donna Peters
7924Jennifer Palmer
8856Gabriel Luna
9829Jonathan Neal
" + ], + "text/plain": [ + "[(472, 'Alicia Horton'),\n", + " (1115, 'James Sanchez'),\n", + " (1178, 'Ryan Nicholson'),\n", + " (1363, 'Maria Fields'),\n", + " (1392, 'Thomas Ford'),\n", + " (2283, 'Ricky Smith'),\n", + " (2384, 'James Torres'),\n", + " (3134, 'Joseph White'),\n", + " (4192, 'Christian Robinson'),\n", + " (4914, 'Alexa Haynes'),\n", + " (5302, 'Sarah Martinez'),\n", + " (6315, 'Janet Brown'),\n", + " (7368, 'Jon Johnson'),\n", + " (7384, 'Scott Williams'),\n", + " (7494, 'Donna Peters'),\n", + " (7924, 'Jennifer Palmer'),\n", + " (8856, 'Gabriel Luna'),\n", + " (9829, 'Jonathan Neal')]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "USE hiring;\n", + "\n", + "SELECT * FROM candidate WHERE candidate_id NOT IN (\n", + " SELECT candidate_id FROM candidate NATURAL JOIN position__skill WHERE position=\"SWE1\" \n", + " AND (candidate_id, skill) NOT IN (SELECT candidate_id, skill FROM candidate__skill)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/db-course/011-Final.ipynb b/db-course/011-Final.ipynb new file mode 100644 index 0000000..5419478 --- /dev/null +++ b/db-course/011-Final.ipynb @@ -0,0 +1,77 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Final Project\n", + "\n", + "- Define \n", + "- Populate (fake data)\n", + "- Query \n", + "\n", + "\n", + "The complexity of the schema must be on the scale of 6-12 tables." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Schema Design\n", + "\n", + "1. A company has open positions \n", + "2. Each position has a set of required or desired skills. \n", + "3. Candidates have skills of different level (intermediate or proficient)\n", + "4. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "outputs": [], + "source": [ + "Populate\n", + "\n", + "- At least four positions\n", + "- At least 300 candidates" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "outputs": [], + "source": [ + "20 queries of increasing levels of complexity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From b9c57068e4ae277d4c25ce4542808542c52ffa64 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Thu, 23 Nov 2023 04:49:57 +0000 Subject: [PATCH 31/33] clean up RelationalDivision --- db-course/009-RelationalDivision.ipynb | 984 ++++++++++++++----------- 1 file changed, 551 insertions(+), 433 deletions(-) diff --git a/db-course/009-RelationalDivision.ipynb b/db-course/009-RelationalDivision.ipynb index 5919632..0f160d6 100644 --- a/db-course/009-RelationalDivision.ipynb +++ b/db-course/009-RelationalDivision.ipynb @@ -1,20 +1,35 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Relational Division\n", + "\n", + "Relational division is a query of the type: \n", + "> \"Find all entries in A that have a mathcing entry in B for each entry in C.\"\n", + "\n", + "For example, \n", + "> \"Show all the job candidates who have all the skills for a job posting.\"\n", + "\n", + "> \"Show all students who have completed all the required courses for a math major.\"\n", + "\n", + "Relational division is often difficult to think through with no direct syntax in DataJoint and SQL. \n", + "Let's review a detailed example in both DataJoint and SQL" + ] + }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The sql extension is already loaded. To reload it, use:\n", - " %reload_ext sql\n" - ] - } - ], + "outputs": [], "source": [ + "# prepare datajoint\n", + "import datajoint as dj\n", + "from faker import Faker\n", + "fake = Faker()\n", + "\n", + "# prepare SQL Magic\n", "import pymysql\n", "pymysql.install_as_MySQLdb()\n", "%load_ext sql\n", @@ -23,14 +38,14 @@ ] }, { - "cell_type": "code", - "execution_count": 1, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "import datajoint as dj\n", - "from faker import Faker\n", - "fake = Faker()" + "# Hiring Pipeline Database\n", + "\n", + "In this database, we will represent a set of `Skill`s (e.g. programming languages). \n", + "We also have a set of job `Seeker`s, each possessing a set of skills. \n", + "The database also has `Job` postings, each requiring a specific set of skills. \n" ] }, { @@ -42,8 +57,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "[2023-11-15 01:22:42,459][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-11-15 01:22:42,518][INFO]: Connected root@fakeservices.datajoint.io:3306\n" + "[2023-11-23 04:48:37,401][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", + "[2023-11-23 04:48:37,409][INFO]: Connected root@fakeservices.datajoint.io:3306\n" ] } ], @@ -63,8 +78,13 @@ " skill : varchar(24)\n", " \"\"\"\n", " contents = zip(\n", - " (\"SQL\", \"Java\", \"Python\", \"C++\", \n", - " \"JavaScript\", \"R\", \"Rust\"))" + " (\"SQL\", \n", + " \"Java\", \n", + " \"Python\", \n", + " \"C++\", \n", + " \"JavaScript\", \n", + " \"R\", \n", + " \"Rust\"))" ] }, { @@ -169,9 +189,9 @@ "outputs": [], "source": [ "@schema\n", - "class Candidate(dj.Manual):\n", + "class Seeker(dj.Manual):\n", " definition = \"\"\"\n", - " candidate_id : int\n", + " seeker_id : int\n", " ---\n", " name : varchar(60)\n", " \"\"\"\n", @@ -189,7 +209,7 @@ "metadata": {}, "outputs": [], "source": [ - "Candidate.insert(((fake.random_int(), fake.name()) for _ in range(300)), \n", + "Seeker.insert(((fake.random_int(), fake.name()) for _ in range(300)), \n", " skip_duplicates=True)" ] }, @@ -257,45 +277,45 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

candidate_id

\n", + "

seeker_id

\n", " \n", "
\n", "

name

\n", " \n", "
6Daniel Burns
35Justin Brown
69Mary Russell
84Hannah Rodriguez
169Carrie Donovan
217Cynthia Noble
282Walter Castro
288Cassandra Baker
351Debra Webb
371Tyler Nelson
472Alicia Horton
529Shannon Robinson
14Sarah Perry
49Sarah Cole
68Laura Thompson
242Jennifer Rodgers
279Erin Wilson
281Rickey Johnson
302Brandon Johnson
308Preston Stanley
314Kim Decker
373Robert King
396Adam Banks
417Chris Johns
\n", "

...

\n", "

Total: 294

\n", " " ], "text/plain": [ - "*candidate_id name \n", - "+------------+ +------------+\n", - "6 Daniel Burns \n", - "35 Justin Brown \n", - "69 Mary Russell \n", - "84 Hannah Rodrigu\n", - "169 Carrie Donovan\n", - "217 Cynthia Noble \n", - "282 Walter Castro \n", - "288 Cassandra Bake\n", - "351 Debra Webb \n", - "371 Tyler Nelson \n", - "472 Alicia Horton \n", - "529 Shannon Robins\n", + "*seeker_id name \n", + "+-----------+ +------------+\n", + "14 Sarah Perry \n", + "49 Sarah Cole \n", + "68 Laura Thompson\n", + "242 Jennifer Rodge\n", + "279 Erin Wilson \n", + "281 Rickey Johnson\n", + "302 Brandon Johnso\n", + "308 Preston Stanle\n", + "314 Kim Decker \n", + "373 Robert King \n", + "396 Adam Banks \n", + "417 Chris Johns \n", " ...\n", " (Total: 294)" ] @@ -306,7 +326,7 @@ } ], "source": [ - "Candidate()" + "Seeker()" ] }, { @@ -373,7 +393,7 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", + " \n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", + "\n", "\n", - "\n", - "\n", - "\n", + "\n", "\n", - "\n", - "\n", - "\n", + "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

candidate_id

\n", + "

seeker_id

\n", " \n", "
\n", "

skill

\n", @@ -382,53 +402,53 @@ "

name

\n", " \n", "
6SQLDaniel Burns
6
14PythonSarah Perry
14JavaScriptDaniel Burns
6JavaDaniel Burns
6Sarah Perry
14C++Daniel Burns
35RJustin Brown
35Sarah Perry
49PythonJustin Brown
35JavaScriptJustin Brown
35Sarah Cole
49C++Justin Brown
69RustMary Russell
69Sarah Cole
68SQLLaura Thompson
68JavaLaura Thompson
242RMary Russell
69JavaScriptMary Russell
69Jennifer Rodgers
242PythonJennifer Rodgers
242JavaMary Russell
Jennifer Rodgers
279RustErin Wilson
279RErin Wilson
\n", "

...

\n", - "

Total: 802

\n", + "

Total: 601

\n", " " ], "text/plain": [ - "*candidate_id *skill name \n", - "+------------+ +------------+ +------------+\n", - "6 SQL Daniel Burns \n", - "35 Rust Justin Brown \n", - "35 Python Justin Brown \n", - "35 JavaScript Justin Brown \n", - "69 SQL Mary Russell \n", - "69 JavaScript Mary Russell \n", - "69 Java Mary Russell \n", - "84 SQL Hannah Rodrigu\n", - "84 Java Hannah Rodrigu\n", - "169 JavaScript Carrie Donovan\n", - "217 SQL Cynthia Noble \n", - "217 Java Cynthia Noble \n", + "*seeker_id *skill name \n", + "+-----------+ +------------+ +------------+\n", + "14 SQL Sarah Perry \n", + "49 JavaScript Sarah Cole \n", + "49 Java Sarah Cole \n", + "68 SQL Laura Thompson\n", + "68 Java Laura Thompson\n", + "242 Python Jennifer Rodge\n", + "242 JavaScript Jennifer Rodge\n", + "242 Java Jennifer Rodge\n", + "242 C++ Jennifer Rodge\n", + "279 Java Erin Wilson \n", + "281 SQL Rickey Johnson\n", + "281 Rust Rickey Johnson\n", " ...\n", - " (Total: 840)" + " (Total: 607)" ] }, "execution_count": 8, @@ -437,7 +457,8 @@ } ], "source": [ - "Candidate * Skill & 'rand() < 0.4'" + "# random subsets of skills for each seeker\n", + "Seeker * Skill & 'rand() < 0.3'" ] }, { @@ -446,8 +467,9 @@ "metadata": {}, "outputs": [], "source": [ - "Candidate.Skill.insert(\n", - " Candidate.proj() * Skill & 'RAND() < 0.4')" + "# server-side insert \n", + "Seeker.Skill.insert(\n", + " Seeker.proj() * Skill & 'RAND() < 0.3')" ] }, { @@ -514,47 +536,47 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "
\n", - "

candidate_id

\n", + "

seeker_id

\n", " \n", "
\n", "

skill

\n", " \n", "
35C++
288C++
371C++
578C++
641C++
722C++
791C++
1363C++
1369C++
1374C++
1379C++
1525
68C++
281C++
314C++
417C++
576C++
704C++
946C++
1035C++
1113C++
1207C++
1303C++
1821C++
\n", "

...

\n", - "

Total: 804

\n", + "

Total: 603

\n", " " ], "text/plain": [ - "*candidate_id *skill \n", - "+------------+ +-------+\n", - "35 C++ \n", - "288 C++ \n", - "371 C++ \n", - "578 C++ \n", - "641 C++ \n", - "722 C++ \n", - "791 C++ \n", - "1363 C++ \n", - "1369 C++ \n", - "1374 C++ \n", - "1379 C++ \n", - "1525 C++ \n", + "*seeker_id *skill \n", + "+-----------+ +-------+\n", + "68 C++ \n", + "281 C++ \n", + "314 C++ \n", + "417 C++ \n", + "576 C++ \n", + "704 C++ \n", + "946 C++ \n", + "1035 C++ \n", + "1113 C++ \n", + "1207 C++ \n", + "1303 C++ \n", + "1821 C++ \n", " ...\n", - " (Total: 804)" + " (Total: 603)" ] }, "execution_count": 10, @@ -563,7 +585,7 @@ } ], "source": [ - "Candidate.Skill()" + "Seeker.Skill()" ] }, { @@ -630,47 +652,47 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

candidate_id

\n", + "

seeker_id

\n", " \n", "
\n", - "

skill

\n", + "

name

\n", " \n", "
282SQL
472SQL
578SQL
640SQL
664SQL
722SQL
810SQL
857SQL
1005SQL
1374SQL
1392SQL
1407SQL
14Sarah Perry
242Jennifer Rodgers
724Ian Stevens
806Stacy Medina
831Kayla King
1016Betty Wolfe
1049Crystal Jacobs
1207Timothy Sampson
1502David Washington
1821Theresa Soto
1827Luke Perez
1830Sarah Barnett
\n", "

...

\n", - "

Total: 110

\n", + "

Total: 90

\n", " " ], "text/plain": [ - "*candidate_id *skill \n", - "+------------+ +-------+\n", - "282 SQL \n", - "472 SQL \n", - "578 SQL \n", - "640 SQL \n", - "664 SQL \n", - "722 SQL \n", - "810 SQL \n", - "857 SQL \n", - "1005 SQL \n", - "1374 SQL \n", - "1392 SQL \n", - "1407 SQL \n", + "*seeker_id name \n", + "+-----------+ +------------+\n", + "14 Sarah Perry \n", + "242 Jennifer Rodge\n", + "724 Ian Stevens \n", + "806 Stacy Medina \n", + "831 Kayla King \n", + "1016 Betty Wolfe \n", + "1049 Crystal Jacobs\n", + "1207 Timothy Sampso\n", + "1502 David Washingt\n", + "1821 Theresa Soto \n", + "1827 Luke Perez \n", + "1830 Sarah Barnett \n", " ...\n", - " (Total: 110)" + " (Total: 90)" ] }, "execution_count": 11, @@ -679,7 +701,8 @@ } ], "source": [ - "Candidate.Skill & 'skill=\"SQL\"'" + "# All seekers who know SQL\n", + "Seeker & (Seeker.Skill & 'skill=\"SQL\"')" ] }, { @@ -689,11 +712,11 @@ "outputs": [], "source": [ "@schema\n", - "class Position(dj.Manual):\n", + "class Job(dj.Manual):\n", " definition = \"\"\"\n", - " position : varchar(12) \n", + " job : varchar(12) \n", " ---\n", - " position_description : varchar(60)\n", + " job_description : varchar(60)\n", " \"\"\"\n", "\n", " class Skill(dj.Part):\n", @@ -709,29 +732,24 @@ "metadata": {}, "outputs": [], "source": [ - "Position.insert1((\"SWE1\", \"Software Engineer I\"))\n", - "Position.Skill.insert((\n", - " (\"SWE1\", \"Rust\"),\n", - " (\"SWE1\", \"JavaScript\"),\n", - " (\"SWE1\", \"Java\")))" + "# insert two jobs\n", + "\n", + "Job.insert1((\"job1\", \"Software Engineer I\"))\n", + "Job.Skill.insert((\n", + " (\"job1\", \"Rust\"),\n", + " (\"job1\", \"JavaScript\"),\n", + " (\"job1\", \"Java\")))\n", + "\n", + "Job.insert1((\"job2\", \"Data Scientist II\"))\n", + "Job.Skill.insert((\n", + " (\"job2\", \"SQL\"),\n", + " (\"job2\", \"Python\")))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, - "outputs": [], - "source": [ - "Position.insert1((\"DS2\", \"Data Scientist II\"))\n", - "Position.Skill.insert((\n", - " (\"DS2\", \"SQL\"),\n", - " (\"DS2\", \"Python\")))" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, "outputs": [ { "data": { @@ -792,17 +810,17 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", "\n", "
\n", - "

position

\n", + "

job

\n", " \n", "
\n", "

skill

\n", " \n", "
SWE1Java
SWE1JavaScript
DS2Python
SWE1Rust
DS2
job1Java
job1JavaScript
job2Python
job1Rust
job2SQL
\n", " \n", @@ -810,110 +828,110 @@ " " ], "text/plain": [ - "*position *skill \n", - "+----------+ +------------+\n", - "SWE1 Java \n", - "SWE1 JavaScript \n", - "DS2 Python \n", - "SWE1 Rust \n", - "DS2 SQL \n", + "*job *skill \n", + "+------+ +------------+\n", + "job1 Java \n", + "job1 JavaScript \n", + "job2 Python \n", + "job1 Rust \n", + "job2 SQL \n", " (Total: 5)" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Position.Skill()" + "Job.Skill()" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Position.Skill\n", - "\n", - "\n", - "Position.Skill\n", + "Job.Skill\n", + "\n", + "\n", + "Job.Skill\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Candidate.Skill\n", - "\n", - "\n", - "Candidate.Skill\n", + "Seeker.Skill\n", + "\n", + "\n", + "Seeker.Skill\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Skill\n", - "\n", - "\n", - "Skill\n", + "Job\n", + "\n", + "\n", + "Job\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "Skill->Position.Skill\n", - "\n", + "Job->Job.Skill\n", + "\n", "\n", - "\n", - "\n", - "Skill->Candidate.Skill\n", - "\n", - "\n", - "\n", + "\n", "\n", - "Candidate\n", - "\n", - "\n", - "Candidate\n", + "Seeker\n", + "\n", + "\n", + "Seeker\n", "\n", "\n", "\n", - "\n", - "\n", - "Candidate->Candidate.Skill\n", - "\n", + "\n", + "\n", + "Seeker->Seeker.Skill\n", + "\n", "\n", - "\n", + "\n", "\n", - "Position\n", - "\n", - "\n", - "Position\n", + "Skill\n", + "\n", + "\n", + "Skill\n", "\n", "\n", "\n", - "\n", + "\n", + "\n", + "Skill->Job.Skill\n", + "\n", + "\n", + "\n", "\n", - "Position->Position.Skill\n", - "\n", + "Skill->Seeker.Skill\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -926,20 +944,27 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Show candidates who qualify for a given job\n", + "### Query: Show seekers who qualify for Job1\n", "\n", - "Rephrase (position)\n", + "This is described as the relational division of seeker skills by job skills.\n", "\n", - "> Show candidates who have *all* the skills required for job \"SWE1\"\n", + "> Show all seekers who have *all* the skills required for job \"Job1\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A common way to address relational division is to reformulate the problem as a double negative:\n", "\n", - "Rephrasing (a double negative)\n", + "> Show all seekers except those who are missing any of the skills required for Job1.\n", "\n", - "> Show candidates for whom there is no skill required for job \"SWE1\" that she does not possess." + "This allows us to break the problem into simpler subqueries." ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1001,15 +1026,15 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", + " \n", + "\n", + "\n", "\n", "
\n", - "

position

\n", + "

job

\n", " \n", "
\n", "

skill

\n", " \n", "
SWE1Java
SWE1JavaScript
SWE1
job1Java
job1JavaScript
job1Rust
\n", " \n", @@ -1017,37 +1042,28 @@ " " ], "text/plain": [ - "*position *skill \n", - "+----------+ +------------+\n", - "SWE1 Java \n", - "SWE1 JavaScript \n", - "SWE1 Rust \n", + "*job *skill \n", + "+------+ +------------+\n", + "job1 Java \n", + "job1 JavaScript \n", + "job1 Rust \n", " (Total: 3)" ] }, - "execution_count": 20, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# skills for SWE1\n", - "required_skill = Position.Skill() & {'position': \"SWE1\"}\n", + "# skills for Job1\n", + "required_skill = Job.Skill() & {'job': \"Job1\"}\n", "required_skill" ] }, { "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "missing_skill = Candidate.proj() * required_skill - Candidate.Skill()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1105,65 +1121,99 @@ " }\n", " \n", " \n", - " \n", + " \n", "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

candidate_id

\n", + "

seeker_id

\n", + " \n", + "
\n", + "

job

\n", " \n", "
\n", "

skill

\n", " \n", + "
\n", + "

name

\n", + " \n", "
35C++
288C++
371C++
578C++
641C++
722C++
791C++
1363C++
1369C++
1374C++
1379C++
1525C++
14job1RustSarah Perry
14job1JavaScriptSarah Perry
14job1JavaSarah Perry
49job1RustSarah Cole
49job1JavaSarah Cole
68job1RustLaura Thompson
68job1JavaScriptLaura Thompson
68job1JavaLaura Thompson
242job1RustJennifer Rodgers
242job1JavaScriptJennifer Rodgers
242job1JavaJennifer Rodgers
279job1RustErin Wilson
\n", "

...

\n", - "

Total: 804

\n", + "

Total: 633

\n", " " ], "text/plain": [ - "*candidate_id *skill \n", - "+------------+ +-------+\n", - "35 C++ \n", - "288 C++ \n", - "371 C++ \n", - "578 C++ \n", - "641 C++ \n", - "722 C++ \n", - "791 C++ \n", - "1363 C++ \n", - "1369 C++ \n", - "1374 C++ \n", - "1379 C++ \n", - "1525 C++ \n", + "*seeker_id *job *skill name \n", + "+-----------+ +------+ +------------+ +------------+\n", + "14 job1 Rust Sarah Perry \n", + "14 job1 JavaScript Sarah Perry \n", + "14 job1 Java Sarah Perry \n", + "49 job1 Rust Sarah Cole \n", + "49 job1 Java Sarah Cole \n", + "68 job1 Rust Laura Thompson\n", + "68 job1 JavaScript Laura Thompson\n", + "68 job1 Java Laura Thompson\n", + "242 job1 Rust Jennifer Rodge\n", + "242 job1 JavaScript Jennifer Rodge\n", + "242 job1 Java Jennifer Rodge\n", + "279 job1 Rust Erin Wilson \n", " ...\n", - " (Total: 804)" + " (Total: 633)" ] }, - "execution_count": 23, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Candidate.Skill()" + "# show missing skills for all candidates. \n", + "\n", + "missing_skill = (Seeker * required_skill) - Seeker.Skill()\n", + "\n", + "missing_skill" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1225,61 +1275,54 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

candidate_id

\n", + "

seeker_id

\n", " \n", "
\n", "

name

\n", " \n", "
472Alicia Horton
1115James Sanchez
1178Ryan Nicholson
1363Maria Fields
1392Thomas Ford
2283Ricky Smith
2384James Torres
3134Joseph White
4192Christian Robinson
4914Alexa Haynes
5302Sarah Martinez
6315Janet Brown
1270Monica Martinez
4354Joseph Nelson
5250Rebecca Mcdaniel
5495Dillon Rodriguez
6006Joshua Bell
6837Jonathan Miranda
7914Daniel Lewis
9272Lori Cooper MD
\n", - "

...

\n", - "

Total: 18

\n", + " \n", + "

Total: 8

\n", " " ], "text/plain": [ - "*candidate_id name \n", - "+------------+ +------------+\n", - "472 Alicia Horton \n", - "1115 James Sanchez \n", - "1178 Ryan Nicholson\n", - "1363 Maria Fields \n", - "1392 Thomas Ford \n", - "2283 Ricky Smith \n", - "2384 James Torres \n", - "3134 Joseph White \n", - "4192 Christian Robi\n", - "4914 Alexa Haynes \n", - "5302 Sarah Martinez\n", - "6315 Janet Brown \n", - " ...\n", - " (Total: 18)" + "*seeker_id name \n", + "+-----------+ +------------+\n", + "1270 Monica Martine\n", + "4354 Joseph Nelson \n", + "5250 Rebecca Mcdani\n", + "5495 Dillon Rodrigu\n", + "6006 Joshua Bell \n", + "6837 Jonathan Miran\n", + "7914 Daniel Lewis \n", + "9272 Lori Cooper MD\n", + " (Total: 8)" ] }, - "execution_count": 26, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Candidate - missing_skill" + "# No show candidates who don't have any missing skills. \n", + "\n", + "Seeker - missing_skill.proj()" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1341,61 +1384,65 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

candidate_id

\n", + "

seeker_id

\n", " \n", "
\n", "

name

\n", " \n", "
472Alicia Horton
1115James Sanchez
1178Ryan Nicholson
1363Maria Fields
1392Thomas Ford
2283Ricky Smith
2384James Torres
3134Joseph White
4192Christian Robinson
4914Alexa Haynes
5302Sarah Martinez
6315Janet Brown
1270Monica Martinez
4354Joseph Nelson
5250Rebecca Mcdaniel
5495Dillon Rodriguez
6006Joshua Bell
6837Jonathan Miranda
7914Daniel Lewis
9272Lori Cooper MD
\n", - "

...

\n", - "

Total: 18

\n", + " \n", + "

Total: 8

\n", " " ], "text/plain": [ - "*candidate_id name \n", - "+------------+ +------------+\n", - "472 Alicia Horton \n", - "1115 James Sanchez \n", - "1178 Ryan Nicholson\n", - "1363 Maria Fields \n", - "1392 Thomas Ford \n", - "2283 Ricky Smith \n", - "2384 James Torres \n", - "3134 Joseph White \n", - "4192 Christian Robi\n", - "4914 Alexa Haynes \n", - "5302 Sarah Martinez\n", - "6315 Janet Brown \n", - " ...\n", - " (Total: 18)" + "*seeker_id name \n", + "+-----------+ +------------+\n", + "1270 Monica Martine\n", + "4354 Joseph Nelson \n", + "5250 Rebecca Mcdani\n", + "5495 Dillon Rodrigu\n", + "6006 Joshua Bell \n", + "6837 Jonathan Miran\n", + "7914 Daniel Lewis \n", + "9272 Lori Cooper MD\n", + " (Total: 8)" ] }, - "execution_count": 27, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Candidate - (Candidate.proj() * (Position.Skill() & {'position': \"SWE1\"}) - Candidate.Skill())" + "# putting this all together as a self-contained query:\n", + "# Seekers who have all required skills for Job1.\n", + "Seeker - ((Seeker.proj() * Job.Skill & {'job': \"Job1\"}) - Seeker.Skill)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# In SQL\n", + "\n", + "Let's do the same in sql. \n", + "\n", + "Query 1: show all seekers' missing skills for Job1." ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1404,7 +1451,7 @@ "text": [ " * mysql://root:***@127.0.0.1\n", "0 rows affected.\n", - "18 rows affected.\n" + "10 rows affected.\n" ] }, { @@ -1413,108 +1460,184 @@ "\n", " \n", " \n", - " \n", + " \n", " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", + "
candidate_idseeker_idnamejobskill
472Alicia Horton14Sarah Perryjob1Rust
1115James Sanchez14Sarah Perryjob1JavaScript
1178Ryan Nicholson14Sarah Perryjob1Java
1363Maria Fields49Sarah Colejob1Rust
1392Thomas Ford49Sarah Colejob1Java
2283Ricky Smith68Laura Thompsonjob1Rust
2384James Torres68Laura Thompsonjob1JavaScript
3134Joseph White68Laura Thompsonjob1Java
4192Christian Robinson242Jennifer Rodgersjob1Rust
4914Alexa Haynes242Jennifer Rodgersjob1JavaScript
" + ], + "text/plain": [ + "[(14, 'Sarah Perry', 'job1', 'Rust'),\n", + " (14, 'Sarah Perry', 'job1', 'JavaScript'),\n", + " (14, 'Sarah Perry', 'job1', 'Java'),\n", + " (49, 'Sarah Cole', 'job1', 'Rust'),\n", + " (49, 'Sarah Cole', 'job1', 'Java'),\n", + " (68, 'Laura Thompson', 'job1', 'Rust'),\n", + " (68, 'Laura Thompson', 'job1', 'JavaScript'),\n", + " (68, 'Laura Thompson', 'job1', 'Java'),\n", + " (242, 'Jennifer Rodgers', 'job1', 'Rust'),\n", + " (242, 'Jennifer Rodgers', 'job1', 'JavaScript')]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "USE hiring;\n", + "\n", + "SELECT *\n", + "FROM seeker NATURAL JOIN job__skill \n", + "WHERE job=\"Job1\" AND (seeker_id, skill) NOT IN (\n", + " SELECT seeker_id, skill FROM seeker__skill)\n", + "LIMIT 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now show all the seekers who lack missing skills:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "8 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
5302Sarah Martinezseeker_idname
1270Monica Martinez
6315Janet Brown4354Joseph Nelson
7368Jon Johnson5250Rebecca Mcdaniel
7384Scott Williams5495Dillon Rodriguez
7494Donna Peters6006Joshua Bell
7924Jennifer Palmer6837Jonathan Miranda
8856Gabriel Luna7914Daniel Lewis
9829Jonathan Neal9272Lori Cooper MD
" ], "text/plain": [ - "[(472, 'Alicia Horton'),\n", - " (1115, 'James Sanchez'),\n", - " (1178, 'Ryan Nicholson'),\n", - " (1363, 'Maria Fields'),\n", - " (1392, 'Thomas Ford'),\n", - " (2283, 'Ricky Smith'),\n", - " (2384, 'James Torres'),\n", - " (3134, 'Joseph White'),\n", - " (4192, 'Christian Robinson'),\n", - " (4914, 'Alexa Haynes'),\n", - " (5302, 'Sarah Martinez'),\n", - " (6315, 'Janet Brown'),\n", - " (7368, 'Jon Johnson'),\n", - " (7384, 'Scott Williams'),\n", - " (7494, 'Donna Peters'),\n", - " (7924, 'Jennifer Palmer'),\n", - " (8856, 'Gabriel Luna'),\n", - " (9829, 'Jonathan Neal')]" + "[(1270, 'Monica Martinez'),\n", + " (4354, 'Joseph Nelson'),\n", + " (5250, 'Rebecca Mcdaniel'),\n", + " (5495, 'Dillon Rodriguez'),\n", + " (6006, 'Joshua Bell'),\n", + " (6837, 'Jonathan Miranda'),\n", + " (7914, 'Daniel Lewis'),\n", + " (9272, 'Lori Cooper MD')]" ] }, - "execution_count": 32, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1523,18 +1646,13 @@ "%%sql\n", "USE hiring;\n", "\n", - "SELECT * FROM candidate WHERE candidate_id NOT IN (\n", - " SELECT candidate_id FROM candidate NATURAL JOIN position__skill WHERE position=\"SWE1\" \n", - " AND (candidate_id, skill) NOT IN (SELECT candidate_id, skill FROM candidate__skill)\n", + "SELECT * FROM seeker WHERE seeker_id NOT IN (\n", + " SELECT seeker_id\n", + " FROM seeker NATURAL JOIN job__skill \n", + " WHERE job=\"Job1\" AND (seeker_id, skill) NOT IN (\n", + " SELECT seeker_id, skill FROM seeker__skill)\n", ")" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 98903d7fd13c7b042c7e508e089447d24ef6a8af Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Fri, 24 Nov 2023 18:34:01 +0000 Subject: [PATCH 32/33] finished the Final --- db-course/011-Final.ipynb | 72 ++++++++++++++++++++++++++++----------- 1 file changed, 53 insertions(+), 19 deletions(-) diff --git a/db-course/011-Final.ipynb b/db-course/011-Final.ipynb index 5419478..b2fb249 100644 --- a/db-course/011-Final.ipynb +++ b/db-course/011-Final.ipynb @@ -6,53 +6,87 @@ "source": [ "# Final Project\n", "\n", - "- Define \n", - "- Populate (fake data)\n", - "- Query \n", + "In this project, you will write Python code to (a) define, (b) populate, and (c) query a database. \n", + "Your submission can be a single Jupyter notebook with these three clearly=defined sections. \n", "\n", + "You can propose your own database problem. In that case, first, describe its specification and purpose in detail. \n", + "Otherwise, use the \"Hiring\" database specification below.\n", "\n", - "The complexity of the schema must be on the scale of 6-12 tables." + "The complexity of the schema must be at least 6 tables. \n", + "It must be populated with a sufficient amount of data to allow interesting queries. \n", + "You can use real data if available or generate fake data.\n", + "\n", + "Compose at least 12 nontrivial queries that use the major patterns we learned in class: selection, projection, joins, subqueries, and aggregations.\n", + "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Schema Design\n", + "## Schema specification: \"Hiring database\"\n", + "\n", + "The schema design \n", "\n", - "1. A company has open positions \n", - "2. Each position has a set of required or desired skills. \n", - "3. Candidates have skills of different level (intermediate or proficient)\n", - "4. " + "1. Hiring managers have a name, phone, and email. \n", + "2. A hiring manager can create job postings, including a job title, job description, open date, and the annual salary range (min and max). \n", + "3. Each job posting has a set of required skills. You can use a set of programming languages as skills, including SQL and Python.\n", + "4. Job seekers create profiles thas a name, phone, and email. \n", + "5. Job seekers also list their skills. \n", + "6. A job seeker can create an application for a specific job. \n", + "7. A job manager can schedule an interview for a specific application for a specific date.\n", + "8. A successful interview can lead to a job offer, including the start date and a starting salary. \n", + "9. The offer is followed by an acceptance. " ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": { "vscode": { "languageId": "plaintext" } }, - "outputs": [], "source": [ - "Populate\n", + "## Populate\n", "\n", - "- At least four positions\n", - "- At least 300 candidates" + "- At least three hiring managers\n", + "- At least 20 positions\n", + "- At least six skills\n", + "- At least 30 job seekers\n", + "- At least 50 applications\n", + "- At least 30 interviews\n", + "- At least 10 job offers\n", + "- At least 5 job acceptances." ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": { "vscode": { "languageId": "plaintext" } }, - "outputs": [], "source": [ - "20 queries of increasing levels of complexity" + "### Queries\n", + "\n", + "If your query output is too long, limit it to 10 rows.\n", + "\n", + "1. List all open jobs requiring SQL, including the number of applicants for each. Do not include jobs for which someone has already accepted an offer.\n", + "\n", + "2. List all skills, including the number of jobs requiring that skill, and the average salary range for jobs requiring this skill.\n", + "\n", + "3. List all hiring managers, including the number of jobs they have posted, the number of interviews the have given, and the number of job offers they have issued, and the number of accepted offers.\n", + "\n", + "3. List all job seekers who have applied for two or more jobs.\n", + "\n", + "4. List the numes of all job seekers who have been given a job offer but have not yet accepted.\n", + "\n", + "5. List all job applications for which the job candidate has all the required skills. \n", + "\n", + "6. List the top three job postings with the most applications.\n", + "\n", + "Finally, write three more interesting queries, first describing them.\n", + "\n" ] }, { From 997dde4a89ddb8f6915038cb787c2801aa287df1 Mon Sep 17 00:00:00 2001 From: Dimitri Yatsenko Date: Wed, 29 Nov 2023 01:43:10 +0000 Subject: [PATCH 33/33] add solutions for HW7 --- db-course/007-Aggregation-HW.ipynb | 3208 ++++++++++++++++++++++------ 1 file changed, 2501 insertions(+), 707 deletions(-) diff --git a/db-course/007-Aggregation-HW.ipynb b/db-course/007-Aggregation-HW.ipynb index 690c760..cf5ff56 100644 --- a/db-course/007-Aggregation-HW.ipynb +++ b/db-course/007-Aggregation-HW.ipynb @@ -15,18 +15,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 79, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[2023-10-31 23:46:29,692][INFO]: Connecting root@fakeservices.datajoint.io:3306\n", - "[2023-10-31 23:46:29,738][INFO]: Connected root@fakeservices.datajoint.io:3306\n" - ] - } - ], + "outputs": [], "source": [ "import datajoint as dj\n", "\n", @@ -48,544 +39,404 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 80, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ - "\n", + "\n", "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "0\n", - "\n", - "0\n", + "26\n", + "\n", + "26\n", "\n", "\n", - "\n", + "\n", "Customer\n", - "\n", + "\n", "\n", "Customer\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "0->Customer\n", - "\n", + "26->Customer\n", + "\n", "\n", - "\n", + "\n", "\n", - "1\n", + "27\n", "\n", - "1\n", + "27\n", "\n", "\n", - "\n", + "\n", "Report\n", - "\n", + "\n", "\n", "Report\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "1->Report\n", + "27->Report\n", "\n", "\n", - "\n", - "\n", - "Term\n", - "\n", - "\n", - "Term\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Section\n", - "\n", - "\n", - "Section\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Term->Section\n", - "\n", - "\n", - "\n", - "\n", - "CurrentTerm\n", - 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"\n", + "\n", "CreditCard->Purchase\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "Account\n", - "\n", - "\n", - "Account\n", + "\n", + "\n", + "Account\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "Account->Purchase\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "Account->CreditCard\n", - "\n", + "\n", "\n", "\n", - "\n", + "\n", "AddOn\n", - "\n", - "\n", - "AddOn\n", + "\n", + "\n", + "AddOn\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "AddOn->Purchase\n", - "\n", + "\n", "\n", "\n", "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 3, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -609,162 +460,364 @@ ] }, { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 2 (sales)**: Show all employees, including the number of direct reports they have." - ] - }, - { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 6, "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

office_code

\n", + " \n", + "
\n", + "

city

\n", + " \n", + "
\n", + "

phone

\n", + " \n", + "
\n", + "

postal_line1

\n", + " \n", + "
\n", + "

postal_line2

\n", + " \n", + "
\n", + "

state

\n", + " \n", + "
\n", + "

country

\n", + " \n", + "
\n", + "

postal_code

\n", + " \n", + "
\n", + "

territory

\n", + " \n", + "
\n", + "

employee_count

\n", + " calculated attribute\n", + "
1San Francisco+1 650 219 4782100 Market StreetSuite 300CAUSA94080NA6
2Boston+1 215 837 08251550 Court PlaceSuite 102MAUSA02107NA2
3NYC+1 212 555 3000523 East 53rd Streetapt. 5ANYUSA10022NA2
4Paris+33 14 723 440443 Rue Jouffroy D'abbansNoneNoneFrance75017EMEA5
5Tokyo+81 33 224 50004-1 KioichoNoneChiyoda-KuJapan102-8578Japan2
6Sydney+61 2 9264 24515-11 Wentworth AvenueFloor #2NoneAustraliaNSW 2010APAC4
7London+44 20 7877 204125 Old Broad StreetLevel 7NoneUKEC2N 1HNEMEA2
\n", + " \n", + "

Total: 7

\n", + " " + ], + "text/plain": [ + "*office_code city phone postal_line1 postal_line2 state country postal_code territory employee_count\n", + "+------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +-----------+ +------------+ +-----------+ +------------+\n", + "1 San Francisco +1 650 219 478 100 Market Str Suite 300 CA USA 94080 NA 6 \n", + "2 Boston +1 215 837 082 1550 Court Pla Suite 102 MA USA 02107 NA 2 \n", + "3 NYC +1 212 555 300 523 East 53rd apt. 5A NY USA 10022 NA 2 \n", + "4 Paris +33 14 723 440 43 Rue Jouffro None None France 75017 EMEA 5 \n", + "5 Tokyo +81 33 224 500 4-1 Kioicho None Chiyoda-Ku Japan 102-8578 Japan 2 \n", + "6 Sydney +61 2 9264 245 5-11 Wentworth Floor #2 None Australia NSW 2010 APAC 4 \n", + "7 London +44 20 7877 20 25 Old Broad S Level 7 None UK EC2N 1HN EMEA 2 \n", + " (Total: 7)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "**Problem 3 (sales):** Show the top biggests orders in the current month along with the total amount on the order." + "Office.aggr(Employee, ..., employee_count='count(*)')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Problem 4 (sales):** Show the top 5 customers by the amount of money that they have spent this month, including the amount." + "**Problem 2 (sales)**: Show all employees, including the number of direct reports they have." ] }, { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 5 (app):** For each addon, show how many people have bought them." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 6 (sales):** Show the top 5 employees by the sales they have made so far this year." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 7 (nations)**: Show the top 5 languages by the number of countries in which they are the official language. Include the number of countries." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 8 (nations)**: Show the world population and and gdp for 2018." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 9 (nations)**: Show the world population and GDP for each year." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 10 (nations)**: Show all continents, along with their populations and GDP in 2018." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 11 (nations)**: Show all the countries in Africa with a population greater than 100,000,000 in 2018." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 12 (university)**: Show the total number of students who have taken a math class." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 13 (university)**: Show the top course by enrollment in the current term." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 14 (hotel)**: Show the top five guests by the number of nights that they have stayed a the hotel." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 15 (nations):** Show all the regions and the average GDP per capita in each for 2018." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 16 (Sales):** Show the top five products by total sales (in dollars)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 17 (app):** Show the total sales by day over the last month." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 18 (university):** Show all the departments and the number of students electing them for their majors." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 19 (university):** Show all departments and the number of courses they offer in the current semester." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Problem 20 (university)** Show what fraction of students declared \"MATH\" as their major each year." - ] - }, - { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 11, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "6 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
employee_idn
10022
10564
10883
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11436
16211
" + ], + "text/plain": [ + "[(1002, 2), (1056, 4), (1088, 3), (1102, 6), (1143, 6), (1621, 1)]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "**Problem 21 (university)** Show all courses offered in the current term with at least five students enrolled." + "%%sql\n", + "use classicsales;\n", + "select reports_to as employee_id, count(*) n from report\n", + "group by reports_to" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "# Solutions" + "%%sql" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 16, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "6 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
employee_numberlast_namefirst_namenumber_of_direct_reports
1002MurphyDiane2
1056PattersonMary4
1088PattersonWilliam3
1102BondurGerard6
1143BowAnthony6
1621NishiMami1
" + ], + "text/plain": [ + "[(1002, 'Murphy', 'Diane', 2),\n", + " (1056, 'Patterson', 'Mary', 4),\n", + " (1088, 'Patterson', 'William', 3),\n", + " (1102, 'Bondur', 'Gerard', 6),\n", + " (1143, 'Bow', 'Anthony', 6),\n", + " (1621, 'Nishi', 'Mami', 1)]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "**Problem 15** - Show the world regions and the GDP per capita in each for 2018" + "%%sql\n", + "SELECT employee.employee_number, last_name, first_name, count(report.employee_number) as number_of_direct_reports \n", + "FROM employee join report\n", + "ON employee.employee_number=report.reports_to \n", + "GROUP BY employee.employee_number" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -826,64 +879,1831 @@ "
\n", " \n", " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "
\n", - "

region_id

\n", + "

reports_to

\n", " \n", "
\n", - "

name

\n", - " \n", - "
\n", - "

gdp_per_capita

\n", + "

n

\n", " calculated attribute\n", "
4Southern Europe28894.7823
9Australia and New Zealand54797.2481
10Western Europe48084.2176
15North America60969.2672
19Nordic Countries60283.0448
24British Islands44961.9390
10022
10564
10760
10883
11026
11436
11650
11660
11880
12160
12860
13230
\n", - " \n", - "

Total: 6

\n", + "

...

\n", + "

Total: 23

\n", " " ], "text/plain": [ - "*region_id name gdp_per_capita\n", - "+-----------+ +------------+ +------------+\n", - "4 Southern Europ 28894.7823 \n", - "9 Australia and 54797.2481 \n", - "10 Western Europe 48084.2176 \n", - "15 North America 60969.2672 \n", - "19 Nordic Countri 60283.0448 \n", - "24 British Island 44961.9390 \n", - " (Total: 6)" + "*reports_to n \n", + "+------------+ +---+\n", + "1002 2 \n", + "1056 4 \n", + "1076 0 \n", + "1088 3 \n", + "1102 6 \n", + "1143 6 \n", + "1165 0 \n", + "1166 0 \n", + "1188 0 \n", + "1216 0 \n", + "1286 0 \n", + "1323 0 \n", + " ...\n", + " (Total: 23)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Employee.proj(..., reports_to=\"employee_number\").aggr(Report, n=\"count(employee_number)\", keep_all_rows=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 3 (sales):** Show the top biggests orders in the current month along with the total amount on the order." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "

order_number

\n", + " \n", + "
\n", + "

total_amount

\n", + " calculated attribute\n", + "
1036212692.19
1036345785.34
103641834.56
103658307.28
1036614379.90
1036739580.60
1036813874.75
1036928322.83
1037027083.78
1037135137.54
1037233967.73
1037346770.52
\n", + " \n", + "

Total: 12

\n", + " " + ], + "text/plain": [ + "*order_number total_amount \n", + "+------------+ +------------+\n", + "10362 12692.19 \n", + "10363 45785.34 \n", + "10364 1834.56 \n", + "10365 8307.28 \n", + "10366 14379.90 \n", + "10367 39580.60 \n", + "10368 13874.75 \n", + "10369 28322.83 \n", + "10370 27083.78 \n", + "10371 35137.54 \n", + "10372 33967.73 \n", + "10373 46770.52 \n", + " (Total: 12)" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(Order & 'order_date between \"2005-01-01\" and \"2005-01-31\"').aggr(Order.Item, total_amount=\"sum(quantity * price)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

order_number

\n", + " \n", + "
\n", + "

order_date

\n", + " \n", + "
\n", + "

required_date

\n", + " \n", + "
\n", + "

shipped_date

\n", + " \n", + "
\n", + "

status

\n", + " \n", + "
\n", + "

comments

\n", + " \n", + "
\n", + "

customer_number

\n", + " \n", + "
101002003-01-062003-01-132003-01-10ShippedNone363
101012003-01-092003-01-182003-01-11ShippedCheck on availability.128
101022003-01-102003-01-182003-01-14ShippedNone181
101032003-01-292003-02-072003-02-02ShippedNone121
101042003-01-312003-02-092003-02-01ShippedNone141
101052003-02-112003-02-212003-02-12ShippedNone145
101062003-02-172003-02-242003-02-21ShippedNone278
101072003-02-242003-03-032003-02-26ShippedDifficult to negotiate with customer. We need more marketing materials131
101082003-03-032003-03-122003-03-08ShippedNone385
101092003-03-102003-03-192003-03-11ShippedCustomer requested that FedEx Ground is used for this shipping486
101102003-03-182003-03-242003-03-20ShippedNone187
101112003-03-252003-03-312003-03-30ShippedNone129
\n", + "

...

\n", + "

Total: 326

\n", + " " + ], + "text/plain": [ + "*order_number order_date required_date shipped_date status comments customer_numbe\n", + "+------------+ +------------+ +------------+ +------------+ +---------+ +------------+ +------------+\n", + "10100 2003-01-06 2003-01-13 2003-01-10 Shipped None 363 \n", + "10101 2003-01-09 2003-01-18 2003-01-11 Shipped Check on avail 128 \n", + "10102 2003-01-10 2003-01-18 2003-01-14 Shipped None 181 \n", + "10103 2003-01-29 2003-02-07 2003-02-02 Shipped None 121 \n", + "10104 2003-01-31 2003-02-09 2003-02-01 Shipped None 141 \n", + "10105 2003-02-11 2003-02-21 2003-02-12 Shipped None 145 \n", + "10106 2003-02-17 2003-02-24 2003-02-21 Shipped None 278 \n", + "10107 2003-02-24 2003-03-03 2003-02-26 Shipped Difficult to n 131 \n", + "10108 2003-03-03 2003-03-12 2003-03-08 Shipped None 385 \n", + "10109 2003-03-10 2003-03-19 2003-03-11 Shipped Customer reque 486 \n", + "10110 2003-03-18 2003-03-24 2003-03-20 Shipped None 187 \n", + "10111 2003-03-25 2003-03-31 2003-03-30 Shipped None 129 \n", + " ...\n", + " (Total: 326)" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "select c.customer_number,p.amount, o.* from classicsales.order o\n", + "join payment p on p.customer_number=c.customer_number\n", + "where o.order_date>='2023-11-1'\n", + "group by c.customer_number\n", + "order by p.amount descb\n", + "limit 10;" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
order_numberorder_datetotal_amount
104192005-05-1752420.07
104142005-05-0650806.85
104122005-05-0346895.48
104202005-05-2942251.51
104252005-05-3141623.44
104162005-05-1035362.26
104242005-05-3129310.30
104112005-05-0129070.38
104172005-05-1328574.90
104132005-05-0528500.78
" + ], + "text/plain": [ + "[(10419, datetime.date(2005, 5, 17), Decimal('52420.07')),\n", + " (10414, datetime.date(2005, 5, 6), Decimal('50806.85')),\n", + " (10412, datetime.date(2005, 5, 3), Decimal('46895.48')),\n", + " (10420, datetime.date(2005, 5, 29), Decimal('42251.51')),\n", + " (10425, datetime.date(2005, 5, 31), Decimal('41623.44')),\n", + " (10416, datetime.date(2005, 5, 10), Decimal('35362.26')),\n", + " (10424, datetime.date(2005, 5, 31), Decimal('29310.30')),\n", + " (10411, datetime.date(2005, 5, 1), Decimal('29070.38')),\n", + " (10417, datetime.date(2005, 5, 13), Decimal('28574.90')),\n", + " (10413, datetime.date(2005, 5, 5), Decimal('28500.78'))]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT order_number, order_date,SUM(quantity * price) AS total_amount\n", + "FROM `order`\n", + "NATURAL JOIN `order__item` \n", + "WHERE order_date BETWEEN \"2005-05-01\" AND \"2005-05-31\" \n", + "GROUP BY order_number\n", + "ORDER BY total_amount DESC\n", + "LIMIT 10 " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 4 (sales):** Show the top 5 customers by the amount of money that they have spent this month, including the amount." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "5 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
customer_numbercustomer_nametotal_spent
141Euro+ Shopping Channel104780.68
382Salzburg Collectables52420.07
362Gifts4AllAges.com50806.85
282Souveniers And Things Co.42251.51
119La Rochelle Gifts41623.44
" + ], + "text/plain": [ + "[(141, 'Euro+ Shopping Channel', Decimal('104780.68')),\n", + " (382, 'Salzburg Collectables', Decimal('52420.07')),\n", + " (362, 'Gifts4AllAges.com', Decimal('50806.85')),\n", + " (282, 'Souveniers And Things Co.', Decimal('42251.51')),\n", + " (119, 'La Rochelle Gifts', Decimal('41623.44'))]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "use classicsales;\n", + "\n", + "SELECT customer_number, customer_name, SUM(quantity * price) AS total_spent\n", + "FROM customer \n", + "NATURAL JOIN `order` \n", + "NATURAL JOIN `order__item` \n", + "WHERE order_date BETWEEN \"2005-05-01\" AND \"2005-05-31\"\n", + "GROUP BY customer_number\n", + "ORDER BY total_spent DESC\n", + "LIMIT 5;" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "5 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
customer_numbercustomer_nametotal_spent
323Down Under Souveniers, Inc75020.13
141Euro+ Shopping Channel46895.48
209Mini Caravy35157.75
496Kelly's Gift Shop30253.75
233Québec Home Shopping Network29070.38
" + ], + "text/plain": [ + "[(323, 'Down Under Souveniers, Inc', Decimal('75020.13')),\n", + " (141, 'Euro+ Shopping Channel', Decimal('46895.48')),\n", + " (209, 'Mini Caravy', Decimal('35157.75')),\n", + " (496, \"Kelly's Gift Shop\", Decimal('30253.75')),\n", + " (233, 'Québec Home Shopping Network', Decimal('29070.38'))]" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "use classicsales;\n", + "\n", + "SELECT customer_number, customer_name, SUM(amount) AS total_spent\n", + "FROM customer \n", + "NATURAL JOIN payment \n", + "WHERE payment_date BETWEEN \"2005-05-01\" AND \"2005-05-31\"\n", + "GROUP BY customer_number\n", + "ORDER BY total_spent DESC\n", + "LIMIT 5;" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'SELECT `customer_number`,quantity*price as `total_spent` FROM `classicsales`.`customer` NATURAL JOIN `classicsales`.`order` NATURAL JOIN `classicsales`.`order__item` WHERE ( (order_date between \"2005-05-01\" and \"2005-05-31\")) GROUP BY `customer_number`'" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q = Customer.aggr(Order * Order.Item & 'order_date between \"2005-05-01\" and \"2005-05-31\"', total_spent=\"quantity*price\")\n", + "\n", + "q.make_sql()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 5 (app):** For each addon, show how many people have bought them." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 6 (sales):** Show the top 5 employees by the sales they have made so far this year." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "10 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
employee_numbertotal_sales
1370428755.70
1165335940.47
1612167669.84
1501153417.70
1401141205.70
1611131561.38
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" + ], + "text/plain": [ + "[(1370, Decimal('428755.70')),\n", + " (1165, Decimal('335940.47')),\n", + " (1612, Decimal('167669.84')),\n", + " (1501, Decimal('153417.70')),\n", + " (1401, Decimal('141205.70')),\n", + " (1611, Decimal('131561.38')),\n", + " (1216, Decimal('86950.06')),\n", + " (1337, Decimal('78610.44')),\n", + " (1323, Decimal('72025.82')),\n", + " (1166, Decimal('43033.35'))]" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "USE classicsales;\n", + "\n", + "SELECT employee_number,\n", + " SUM(price * quantity) as total_sales \n", + "FROM employee JOIN customer ON employee_number=sales_rep \n", + "NATURAL JOIN `order` NATURAL JOIN order__item\n", + "WHERE year(order_date)='2005'\n", + "GROUP BY employee_number\n", + "ORDER BY total_sales DESC\n", + "LIMIT 10;" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "select r1.*, sum(quantity) as items_sold, sum(price * quantity) AS total_sales \n", + "FROM employee \n", + "JOIN customer ON employee_number=sales_rep NATURAL JOIN `order` NATURAL JOIN order__item\n", + "WHERE year(order_date)='2005'\n", + "GROUP BY employee_number\n", + "ORDER BY total_sales desc\n", + "limit 5" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 7 (nations)**: Show the top 5 languages by the number of countries in which they are the official language. Include the number of countries." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "Continents\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "Regions\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Continents->Regions\n", + "\n", + "\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "Guests\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "Languages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Languages->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "Countries\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryLanguages\n", + "\n", + "\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Countries->CountryStats\n", + "\n", + "\n", + "\n", + "\n", + "Regions->Countries\n", + "\n", + "\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "RegionAreas\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.Diagram(nations)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "0 rows affected.\n", + "5 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
languagenumber_of_countries
Ambo1
Luvale1
Nsenga1
Luchazi1
Luimbe-nganguela1
" + ], + "text/plain": [ + "[('Ambo', 1),\n", + " ('Luvale', 1),\n", + " ('Nsenga', 1),\n", + " ('Luchazi', 1),\n", + " ('Luimbe-nganguela', 1)]" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql \n", + "use nation;\n", + "\n", + "SELECT language, COUNT(country_id) AS number_of_countries\n", + "FROM \n", + "languages NATURAL LEFT JOIN country_languages \n", + "GROUP BY language_id\n", + "ORDER BY number_of_countries ASC\n", + "LIMIT 5;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 8 (nations)**: Show the world population and and gdp for 2018." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
yearworld_populationworld_gdp
2018735898717483590040156453
" + ], + "text/plain": [ + "[(2018, Decimal('7358987174'), Decimal('83590040156453'))]" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT year, sum(population) as world_population, sum(gdp) as world_gdp \n", + "FROM country_stats\n", + "WHERE year=2018" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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\n", + "

year

\n", + " \n", + "
\n", + "

pop

\n", + " calculated attribute\n", + "
\n", + "

gdp

\n", + " calculated attribute\n", + "
1986439019409014392301386986
1987452743748416421120484297
1988478400746218927355419074
1989486914780319736253796020
1990509999028122505042391581
1991511341319923550852228522
1992519614500524972198267199
1993534689370925430442681870
1994543451082427314474000865
1995553273414330449041956687
1996561291907731114314300523
1997569283389630988159774617
\n", + "

...

\n", + "

Total: 59

\n", + " " + ], + "text/plain": [ + "*year pop gdp \n", + "+------+ +------------+ +------------+\n", + "1986 4390194090 14392301386986\n", + "1987 4527437484 16421120484297\n", + "1988 4784007462 18927355419074\n", + "1989 4869147803 19736253796020\n", + "1990 5099990281 22505042391581\n", + "1991 5113413199 23550852228522\n", + "1992 5196145005 24972198267199\n", + "1993 5346893709 25430442681870\n", + "1994 5434510824 27314474000865\n", + "1995 5532734143 30449041956687\n", + "1996 5612919077 31114314300523\n", + "1997 5692833896 30988159774617\n", + " ...\n", + " (Total: 59)" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dj.U('year').aggr(CountryStats, pop='sum(population)', gdp='sum(gdp)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 9 (nations)**: Show the world population and GDP for each year." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " * mysql://root:***@127.0.0.1\n", + "59 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
yearworld_populationworld_gdp
196023179359921118743000628
196123643786861207075823880
196224259780141320381474549
196324783023241421729635563
196425308419941557875653944
196526192352211704098153376
196626781183131848642377850
196728479257791973083264695
196829242919032135342222280
196929903910692351180280031
197031394617182780568237614
197132094581123071111521053
197232777194523541700567535
197333449779214315738678586
197434131446174975709725480
197534731516575554874046743
197635386651236042519670542
197736036822806833786469960
197836694440928044409572881
197937372332689345097328096
1980384316169410678306772670
1981395107621211060513825737
1982401247526910953406180850
1983408735258911170875840453
1984416796826611581522639063
1985430510521912180861558858
1986439019409014392301386986
1987452743748416421120484297
1988478400746218927355419074
1989486914780319736253796020
1990509999028122505042391581
1991511341319923550852228522
1992519614500524972198267199
1993534689370925430442681870
1994543451082427314474000865
1995553273414330449041956687
1996561291907731114314300523
1997569283389630988159774617
1998577195242930943637387919
1999584987335532085437021961
2000597644454333128174554615
2001605332633532945078583978
2002615314821134223007114511
2003623085444938417526455764
2004633542571343303064427674
2005641492361146894074035954
2006649511783150830199606871
2007657593083557257797844936
2008663739975062791531544219
2009671879759659598461591794
2010680021914265238320326026
2011688085212472477162219588
2012696047398474175104239084
2013705759047776275187662055
2014714275894078346752313687
2015719801730273642726288557
2016728413223974726157289947
2017736960575179397294374660
2018735898717483590040156453
" + ], + "text/plain": [ + "[(1960, Decimal('2317935992'), Decimal('1118743000628')),\n", + " (1961, Decimal('2364378686'), Decimal('1207075823880')),\n", + " (1962, Decimal('2425978014'), Decimal('1320381474549')),\n", + " (1963, Decimal('2478302324'), Decimal('1421729635563')),\n", + " (1964, Decimal('2530841994'), Decimal('1557875653944')),\n", + " (1965, Decimal('2619235221'), Decimal('1704098153376')),\n", + " (1966, Decimal('2678118313'), Decimal('1848642377850')),\n", + " (1967, Decimal('2847925779'), Decimal('1973083264695')),\n", + " (1968, Decimal('2924291903'), Decimal('2135342222280')),\n", + " (1969, Decimal('2990391069'), Decimal('2351180280031')),\n", + " (1970, Decimal('3139461718'), Decimal('2780568237614')),\n", + " (1971, Decimal('3209458112'), Decimal('3071111521053')),\n", + " (1972, Decimal('3277719452'), Decimal('3541700567535')),\n", + " (1973, Decimal('3344977921'), Decimal('4315738678586')),\n", + " (1974, Decimal('3413144617'), Decimal('4975709725480')),\n", + " (1975, Decimal('3473151657'), Decimal('5554874046743')),\n", + " (1976, Decimal('3538665123'), Decimal('6042519670542')),\n", + " (1977, Decimal('3603682280'), Decimal('6833786469960')),\n", + " (1978, Decimal('3669444092'), Decimal('8044409572881')),\n", + " (1979, Decimal('3737233268'), Decimal('9345097328096')),\n", + " (1980, Decimal('3843161694'), Decimal('10678306772670')),\n", + " (1981, Decimal('3951076212'), Decimal('11060513825737')),\n", + " (1982, Decimal('4012475269'), Decimal('10953406180850')),\n", + " (1983, Decimal('4087352589'), Decimal('11170875840453')),\n", + " (1984, Decimal('4167968266'), Decimal('11581522639063')),\n", + " (1985, Decimal('4305105219'), Decimal('12180861558858')),\n", + " (1986, Decimal('4390194090'), Decimal('14392301386986')),\n", + " (1987, Decimal('4527437484'), Decimal('16421120484297')),\n", + " (1988, Decimal('4784007462'), Decimal('18927355419074')),\n", + " (1989, Decimal('4869147803'), Decimal('19736253796020')),\n", + " (1990, Decimal('5099990281'), Decimal('22505042391581')),\n", + " (1991, Decimal('5113413199'), Decimal('23550852228522')),\n", + " (1992, Decimal('5196145005'), Decimal('24972198267199')),\n", + " (1993, Decimal('5346893709'), Decimal('25430442681870')),\n", + " (1994, Decimal('5434510824'), Decimal('27314474000865')),\n", + " (1995, Decimal('5532734143'), Decimal('30449041956687')),\n", + " (1996, Decimal('5612919077'), Decimal('31114314300523')),\n", + " (1997, Decimal('5692833896'), Decimal('30988159774617')),\n", + " (1998, Decimal('5771952429'), Decimal('30943637387919')),\n", + " (1999, Decimal('5849873355'), Decimal('32085437021961')),\n", + " (2000, Decimal('5976444543'), Decimal('33128174554615')),\n", + " (2001, Decimal('6053326335'), Decimal('32945078583978')),\n", + " (2002, Decimal('6153148211'), Decimal('34223007114511')),\n", + " (2003, Decimal('6230854449'), Decimal('38417526455764')),\n", + " (2004, Decimal('6335425713'), Decimal('43303064427674')),\n", + " (2005, Decimal('6414923611'), Decimal('46894074035954')),\n", + " (2006, Decimal('6495117831'), Decimal('50830199606871')),\n", + " (2007, Decimal('6575930835'), Decimal('57257797844936')),\n", + " (2008, Decimal('6637399750'), Decimal('62791531544219')),\n", + " (2009, Decimal('6718797596'), Decimal('59598461591794')),\n", + " (2010, Decimal('6800219142'), Decimal('65238320326026')),\n", + " (2011, Decimal('6880852124'), Decimal('72477162219588')),\n", + " (2012, Decimal('6960473984'), Decimal('74175104239084')),\n", + " (2013, Decimal('7057590477'), Decimal('76275187662055')),\n", + " (2014, Decimal('7142758940'), Decimal('78346752313687')),\n", + " (2015, Decimal('7198017302'), Decimal('73642726288557')),\n", + " (2016, Decimal('7284132239'), Decimal('74726157289947')),\n", + " (2017, Decimal('7369605751'), Decimal('79397294374660')),\n", + " (2018, Decimal('7358987174'), Decimal('83590040156453'))]" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT year, sum(population) as world_population, sum(gdp) as world_gdp \n", + "FROM country_stats\n", + "GROUP BY year" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 10 (nations)**: Show all continents, along with their populations and GDP in 2018." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 11 (nations)**: Show all the countries in Africa with a population greater than 100,000,000 in 2018." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 12 (university)**: Show the total number of students who have taken a math class." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 13 (university)**: Show the top course by enrollment in the current term." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 14 (hotel)**: Show the top five guests by the number of nights that they have stayed a the hotel." + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "Reservation\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Reservation->CheckIn\n", + "\n", + "\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "Room\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Room->RoomAvailable\n", + "\n", + "\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "Guest\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Guest->Reservation\n", + "\n", + "\n", + "\n", + "\n", + "CheckIn->CheckOut\n", + "\n", + "\n", + "\n", + "\n", + "RoomAvailable->Reservation\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hotel.spawn_missing_classes()\n", + "dj.Diagram(hotel)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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guest_namen
guest_id
479097081Amanda Dean19
173242903Jessica Watson16
327027272Austin Duncan16
335641148Alexandra Duran16
1447851276Misty Aguirre16
\n", + "
" + ], + "text/plain": [ + " guest_name n\n", + "guest_id \n", + "479097081 Amanda Dean 19\n", + "173242903 Jessica Watson 16\n", + "327027272 Austin Duncan 16\n", + "335641148 Alexandra Duran 16\n", + "1447851276 Misty Aguirre 16" ] }, - "execution_count": 60, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "stats2018 = Countries.proj(..., country_name=\"name\") * CountryStats() & 'year=2018'\n", - "\n", - "Regions.aggr(stats2018 , 'name', gdp_per_capita = 'sum(gdp) / sum(population)') " + "Guest.aggr(Reservation * CheckIn, ..., n='count(*)').fetch(order_by='n DESC', limit=5, format='frame')" ] }, { "cell_type": "code", - "execution_count": 26, - "metadata": { - "vscode": { - "languageId": "sql" - } - }, + "execution_count": 78, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -891,7 +2711,7 @@ "text": [ " * mysql://root:***@127.0.0.1\n", "0 rows affected.\n", - "1 rows affected.\n" + "5 rows affected.\n" ] }, { @@ -900,41 +2720,91 @@ "\n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
gdp_per_capitalguest_idguest_nametotal_nights_stayed
11358.9055479097081Amanda Dean19
173242903Jessica Watson16
327027272Austin Duncan16
335641148Alexandra Duran16
1447851276Misty Aguirre16
" ], "text/plain": [ - "[(Decimal('11358.9055'),)]" + "[(479097081, 'Amanda Dean', 19),\n", + " (173242903, 'Jessica Watson', 16),\n", + " (327027272, 'Austin Duncan', 16),\n", + " (335641148, 'Alexandra Duran', 16),\n", + " (1447851276, 'Misty Aguirre', 16)]" ] }, - "execution_count": 26, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%sql\n", - "-- Show the world's GDP per capita for 2018\n", - "use nation;\n", + "use hotel; \n", "\n", - "SELECT sum(gdp) / sum(population) as gdp_per_capital FROM country_stats WHERE year=2018" + "SELECT guest_id, guest_name, \n", + " count(*) AS total_nights_stayed\n", + "FROM guest\n", + "NATURAL JOIN reservation NATURAL JOIN check_in \n", + "GROUP BY guest_id\n", + "ORDER BY total_nights_stayed DESC\n", + "LIMIT 5;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 15 (nations):** Show all the regions and the average GDP per capita in each for 2018." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 16 (Sales):** Show the top five products by total sales (in dollars)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 17 (app):** Show the total sales by day over the last month." ] }, { "cell_type": "code", - "execution_count": 38, - "metadata": { - "vscode": { - "languageId": "sql" - } - }, + "execution_count": 82, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -942,7 +2812,7 @@ "text": [ " * mysql://root:***@127.0.0.1\n", "0 rows affected.\n", - "23 rows affected.\n" + "10 rows affected.\n" ] }, { @@ -951,137 +2821,182 @@ "\n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
namegdp_per_capitapurchase_datetotal_sales
North America60969.2672
Nordic Countries60283.0448
Australia and New Zealand54797.2481
Western Europe48084.2176
British Islands44961.9390
Southern Europe28894.7823
Baltic Countries19610.0947
Eastern Asia13038.6653
Middle East12796.6965
Eastern Europe11054.7064
South America8856.0444
Central America8504.8136
Caribbean7994.9232
Southern Africa6221.57522023-11-0727196.86
Southeast Asia4540.46412023-11-2327056.67
Polynesia4357.41082023-11-2126495.91
Micronesia3682.20032023-11-1226495.91
Melanesia2990.87842023-11-1726355.72
Northern Africa2868.75772023-11-1326215.53
Southern and Central Asia1979.56322023-11-2226075.34
Western Africa1613.79792023-11-1125935.15
Central Africa1461.57152023-10-3125094.01
Eastern Africa945.50002023-11-1425094.01
" ], "text/plain": [ - "[('North America', Decimal('60969.2672')),\n", - " ('Nordic Countries', Decimal('60283.0448')),\n", - " ('Australia and New Zealand', Decimal('54797.2481')),\n", - " ('Western Europe', Decimal('48084.2176')),\n", - " ('British Islands', Decimal('44961.9390')),\n", - " ('Southern Europe', Decimal('28894.7823')),\n", - " ('Baltic Countries', Decimal('19610.0947')),\n", - " ('Eastern Asia', Decimal('13038.6653')),\n", - " ('Middle East', Decimal('12796.6965')),\n", - " ('Eastern Europe', Decimal('11054.7064')),\n", - " ('South America', Decimal('8856.0444')),\n", - " ('Central America', Decimal('8504.8136')),\n", - " ('Caribbean', Decimal('7994.9232')),\n", - " ('Southern Africa', Decimal('6221.5752')),\n", - " ('Southeast Asia', Decimal('4540.4641')),\n", - " ('Polynesia', Decimal('4357.4108')),\n", - " ('Micronesia', Decimal('3682.2003')),\n", - " ('Melanesia', Decimal('2990.8784')),\n", - " ('Northern Africa', Decimal('2868.7577')),\n", - " ('Southern and Central Asia', Decimal('1979.5632')),\n", - " ('Western Africa', Decimal('1613.7979')),\n", - " ('Central Africa', Decimal('1461.5715')),\n", - " ('Eastern Africa', Decimal('945.5000'))]" + "[(datetime.date(2023, 11, 7), Decimal('27196.86')),\n", + " (datetime.date(2023, 11, 23), Decimal('27056.67')),\n", + " (datetime.date(2023, 11, 21), Decimal('26495.91')),\n", + " (datetime.date(2023, 11, 12), Decimal('26495.91')),\n", + " (datetime.date(2023, 11, 17), Decimal('26355.72')),\n", + " (datetime.date(2023, 11, 13), Decimal('26215.53')),\n", + " (datetime.date(2023, 11, 22), Decimal('26075.34')),\n", + " (datetime.date(2023, 11, 11), Decimal('25935.15')),\n", + " (datetime.date(2023, 10, 31), Decimal('25094.01')),\n", + " (datetime.date(2023, 11, 14), Decimal('25094.01'))]" ] }, - "execution_count": 38, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], + "source": [ + "%%sql\n", + "\n", + "use app;\n", + "\n", + "SELECT purchase_date, SUM(price) AS total_sales\n", + "FROM `purchase`\n", + "NATRUAL JOIN `#add_on` \n", + "WHERE purchase_date >= CURDATE() - INTERVAL 1 MONTH\n", + "GROUP BY purchase_date\n", + "ORDER BY total_sales DESC\n", + "LIMIT 10;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 18 (university):** Show all the departments and the number of students electing them for their majors." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 19 (university):** Show all departments and the number of courses they offer in the current semester." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 20 (university)** Show what fraction of student who declared \"MATH\" as their major each year." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "use university;\n", + "SELECT\n", + " YEAR(student_major.declare_date) AS declare_year,\n", + " round(avg(ifnull(dept='MATH', 0) )*100, 2) as percent_math_majors\n", + "FROM student NATRUAL LEFT JOIN student_major\n", + "GROUP BY declare_year\n", + "ORDER BY declare_year DESC\n", + "LIMIT 15;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 21 (university)** Show all courses offered in the current term with at least five students enrolled." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Solutions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Problem 15** - Show the world regions and the GDP per capita in each for 2018" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "stats2018 = Countries.proj(..., country_name=\"name\") * CountryStats() & 'year=2018'\n", + "\n", + "Regions.aggr(stats2018 , 'name', gdp_per_capita = 'sum(gdp) / sum(population)') " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], + "source": [ + "%%sql\n", + "-- Show the world's GDP per capita for 2018\n", + "use nation;\n", + "\n", + "SELECT sum(gdp) / sum(population) as gdp_per_capital FROM country_stats WHERE year=2018" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "vscode": { + "languageId": "sql" + } + }, + "outputs": [], "source": [ "%%sql\n", "use nation; \n", @@ -1094,74 +3009,13 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": { "vscode": { "languageId": "sql" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " * mysql://root:***@127.0.0.1\n", - "0 rows affected.\n", - "6 rows affected.\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
namegdp_per_capita
North America60969.2672
Nordic Countries60283.0448
Australia and New Zealand54797.2481
Western Europe48084.2176
British Islands44961.9390
Southern Europe28894.7823
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namegdp_per_capita
North America60969.2672
Nordic Countries60283.0448
Australia and New Zealand54797.2481
Western Europe48084.2176
British Islands44961.9390
Southern Europe28894.7823
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